Rabu, Desember 02, 2015

Photogrammetric Method

Photogrammetric Method
By : Muharil S.Pd

These methods are the one most often used in occupational biomechanics. One camera can be utilized when a motion is performed in one plane , while for three dimensional analysis, two or more cameras are employed. Figure 5.4 depicts an orthogonal arrangement for two cameras. when










the cameras are positioned with perpendicular optical axes, accurate three dimensional  coordinates of a point in space can be  obtained by applying the formula (Martin and Pongratz 1974 Nigg Herzog (1994)

(54)
(5 5)
(5 6)

where x,y,z are the actual value i of the coordinate of a given point  space, XYx is the x-coordinate, measured in the XY film plan; Zyy is the y- coordinate measured in the Zyz is the distance from film plane 2 to the origin along the x axis and Dz is the distance from film plane I to the origin along the z axis A nonpependicular photographic system,using cameras is the same plane but separated by a given distance ,has been advocated by ayoub and ramsey (1970).



The foregoing  techniques assume optically perfect cameras. Since optical distortion exissts, various techniques have  been devised to reduce errors from those, one method involves the use of a third camera in an orthogonal arrangement (along the y axis in figure ) this providesa means of checking the estimates, by using the data from the cameras in pairs that is , cameras1 and 2, 2 and 3, and 1 and 3 in the equations to yield three separate estimates of the x, y and z coordinates.this overdetermined system is the resolved  by using the mean of the with an estimated mean error  of approximately 1.0 cm. Asecond technique for corecting for optical distortion has been suggested by andriacchi et al (1979). A grid of known calibration points in used to define a “ correction” polynomial are determined for the calibration grid, the polynomial is used the “correct” the estimate obtained from equations 5.4, 5.5 and 5.6. A cluster of 10,19, and 29 calibration point was use to test this tecnique and resulted in an average resolution of 0,57 cm for 10 points 0.56  cm for 19 points, and  a0.45 cm for 29 points , which andriachi and collegues believe would be sufficient for human motion analysis. Correction for distortion in photogrametric method is discussed by Miller and Nelson  (1976) and Nigg and Herzog (1994).
                                                                                                                                                           
Another requirement of a photogrammetric systemis the ability to accurately locate a moving target. This can be accomplished by using a strobe light set close to the optical axes of the cameras . Reflective markers are taped either directly over the joint center on the skin or on tight-fitting clothing. The result is a set of discrete points on a film  frame that, when joined , from a linkage movement diagram, as illustrated in figure 5.5 for a lifting activity. The strobe rate depends on the velocity of motion. In high velocity motions  of the arm such as when one throws a ball, a strobe rate of  80-100 flashes/sec may be required to have enough data to accurately estimate peak accelarations. In handling heavy load where in slower movements ocur. Too fast a strobe rate results in adjacent reference markers being optically indistinguishable . thus, an analysis of lifting may require a strobe rate of only 20-40 flashes/sec. In general, the rule is the use the highest strobe rate that allows point to be easily distinguished during a specific motion.

The problem of over lapping reference point is eliminated by using motion picture film or video tape methods.in doing so. However. A set of at least three stationary reference markers must be include in each frame. The coordinate of each marker are than measured relative to thesee stationary points in each frame analysis. Thios procedure avoids any depedence on the frame alignment capabilty of the film or videotape transport mechanisms in the camera and the playback unit. A discussion of marker location method and errors is presented in deluzio et al (1993) errors of 2 4 can expected estimating joint angles. The estimatoin of


The angular velocity and  accelaration values can be accomplished by a number of methods, given accurate locations of joint center for specified time intervals. A graphical methods is describes by plagenhoef (1971). Pearson and Mcginley (1961) and fisher (1967) used the first two terms in a taylor series expansion of the angular data from the frame  at each time t. This yields, as estimates of angular velocity and accelaration,





Where  is the angular velocity of joint at time (t) is the angular acceleration of joint  at time is the angular displacement of joint t plus a small interval with dependent on the strobe or movie film rate, and is the angular displacement of joint at time minus a small interval.
The use of a taylor series expansion as the basis for deriving the proceding equations provides some data smothing capability, since additional terms can be added to the series. The reduces the sometimes large acceleration. Other mathematical smothing techniques have been devised as well, some require the statistical fitting of polynomial function to displacement curves,using a mean least squared eror criterion . The first and second derivatives of the resulting polynomial prediction equation represent the velocity and accelerations functions (jackson 1979) A slightly different approachhas been to fit spline functions to the displacement data (Zernicke et al 1976; Wood and Jenings (1981). All of these technique  computerized analysis of the data and all depend on the user deciding how much smothing in necessary. The peak acceleration will be under estimate and shifted in time if the smothing is too great. To litle smothing . if the acceleration values occur at aproximately the same in the motions, if they are of the same relative magnitudes and if the accelerations and regular  when plotted-that is, if they have very little variance from trial to trial then the data are probably providing good motion estimates and can be used in subsequent biomechanical analysis.

5.2.14 Video Spot Locator Systems
Clearly , if a fast sampling rate can be  obtained without the extra cost of film or video data coding, (then  a major improve ment  in motion analysis is possible.  This concept  has led  to the development of var­ious video systems for locating contrasting sport against a given background. Re­flective markers can be used. along with a strobe light, to provide point images for traditional television-based video systems Contemporary systems rely on rapidly pulsed light-emitting diodes (LEDt) or passive reflective markers attached to the person The light rays from these spots are detected by a special camera with a dual axis photosensitive diode, instead of with a film or conventional videotape system When a single spot of light hits the photosensitive diode, tt outputs the sport two dimensional location to a digital computer.

Video  sport  locator systems such as Selspot™, Vicon™, Ripen ™,Vision™, MacRefkx™, and others are commercially available. These systems can track up to 30  markers, and for one marker they track at more than 300 Hz .Woltring  and Marsolais (1980) and Fwretti et al (1985 ) have evaluated the utility of such sysaerm and believe that, with careful calibration of the cameras to reduce optica! and diode signal distortion errors, the tyatems are quite accurate for normal motion studies One of the biggest concern  in all of these  spot locator systems is the time  required

To accurately  track sequence of markers from multiple cameras Recall from equations  5 4-5 6, that three-dimensional spot location requires data from several cameras to be synchronized so that the pairwise estimates of a spot's location for each interval A/ be of the same marker (i e . each marker must be uniquely identified and not mixed up throughout the sampling period) This requires sophisticated software that automatically tracks the diserete marker motions, even when some marker drop out (e g , when a marker is in the shadow of a body segment) or when the tra­jectories of two markers merge together for several intervals Again, a variety of mathematical techniques are  used to track digitized spot motions today. One tech­nique, described by Muijtjens et al (1997), showed that even when 40% of the markers were missing tn the middle of a sequence, 70%  of the remaining markers were correctly located Still, if a minimum number of cameras are employed (i.e , duplicate estimates are not provided), the user may have to visually inspect each camera’s  spot sequence and fiil in" missing data before any kinematic parameters can be estimated

Chao’s (1978) examination of both photographic and videographic systems still appears to be relevant  TV. The advantages of these methods are as follows

1.      They produce     estimateof motions in an absolute universal  reference frame and thus are easily used in biomechanical studies.
2.                     Joint center can be accurately located by projecting in intersection of the long axes of segmet (three or more ) body reference marker placed on each segment (rather than over an estimated joint center)
3.      Body reference markers are smaller and lower in mass than those of either an axoskeleton oraccelerometer-type of system; thus interference with normal motion will be minimal.
4.       Since multiple camera system allow the determination of motions in three dimensions over time , diverse activities can be studied.

5.      The resulting data directly  produce stick diagram of postures and motions that are important in describing specific motor behaviors Also, the system provides graphical feedback on the spatial positions of body segments over time.

The limitations of such systems can also be summarized This is perhaps best done separately for each system For photogrammetric systems, the disadvantages are as follows :

1.      The film data must be manually decoded, which can be quite time consuming and prone to human error
2.      The use of two cameras requires additional care in maintaining alignments and frame synchrony, resulting in additional time in data reduction In fact, Paul and Douwes (l993) have devised estimate?, of the error caused by cameras not being aligned normal to the plane of motion
3.      If still cameras are used, reference points cluster together it the sampling rate (is too low, making it difficult to synchronized the reference point from different cameras.
4.        Reference points can be obscured from the  camera by other body segments
5.       The  additional calculations required to estimate relative motions may produce cumulative error

Videographic systems also have disadvantages that must be recognized :

1.       To acquaire  high resolution and fast sampling with multiple cameras, complex
and expensive electronic equipment is necessary

2.      I Lighting condition! need to be controlled (There must be no point light source the background )
3.       Large amounts of data that need to be stored in a digital computer are quickiy acquired, usually requiring direct data transfer and storage when high sam­pling rate« are used           
4.       These  systems use a relatively new technology that requires advanced exper­tise tn computer  and electronic  to maintain and adapt the system to specific application.

In addition to video based spot locator systems. Sonic and electromagnetic sys­tem have been developed In contrast to current video based systems, these tech­nologis  have the advantage that the marker positions can be tracked in real time, making them attractive for virtual reality applications With sonic systems, the sub­ject wears active emmiters. such as park gap devices or miniature  speakers, that trans­mit an inaudible (> 20 khz) tone for a fraction of a second Multiple microphones placed  at   known location aound the subjeci are wad lo triangulate the location oi the emitters, simply by measuring the time necessary for the sound to travel to each microphone Although sonic system are in expensive to build and their accuracy can be quite  good, sampling rale« are restricted because of the relatively low velocity of sound waves and eminer cross talk (Raaehke et el, 1993) In electromagnetic sys­tems an electromagnetic field is created by a centrally located transmitter and is used by aenaors ««ached to the pervm in order to detect all sixpositional and rotational de­grees of freedom (An et al, 1987) One major limitation on the use of electromag­netic «ystems tn the workplace is that they are sensitive to ferrous and conductive metal« in the environment, which can severely warp the magnetic field and cause in­accuracies However, they have the benefit that they do not have marker occlusion problems In terms of cost, these systems, such as the Flock of Birds from Ascension Technology (Bur I ingion, Vermont), «re comparable to video-based systems P; r ac- < lit hi y also ii comparable, with a positional accuracy of I.I6® and t rotational avcu 'at y of I ()% of normal range of motions (Milne el aK. 19%)  An additional factor to be considered in the selection of a motion tracking technology is the control wires required for the markers worn by the subject. In contrast to video based passive marker,both eloctromagnetic and ultrasonic sytem require the device tobe powered via wires , which may cut motion of the subjecti



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