Feature point tracking in time-varying images

Abstract This paper examines the problem of tracking feature points in dynamic imagery. Two types of imaging geometries are examined: orthographic projection and perspective projection. In each case, the goal is to perform the feature point tracking with a minimal number of images. The feature point tracking problem is shown to be intractable and a grddey heuristic is presented.

[1]  Ishwar K. Sethi,et al.  Finding Trajectories of Feature Points in a Monocular Image Sequence , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Hans-Hellmut Nagel,et al.  Volumetric model and 3D trajectory of a moving car derived from monocular TV frame sequences of a street scene , 1981, Comput. Graph. Image Process..

[3]  M. A. Snyder.  The Precision of 3-D Parameters in Correspondence-Based Techniques: The Case of Uniform Translational Motion in a Rigid Environment , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Gilad Adiv,et al.  Inherent Ambiguities in Recovering 3-D Motion and Structure from a Noisy Flow Field , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Masanobu Yamamoto,et al.  A General Aperture Problem for Direct Estimation of 3-D Motion Parameters , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  V. S. Hwang,et al.  Tracking feature points in time-varying images using an opportunistic selection approach , 1989, Pattern Recognit..

[7]  William B. Thompson,et al.  Disparity Analysis of Images , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  S. Ullman,et al.  The interpretation of visual motion , 1977 .

[9]  Tomaso A. Poggio,et al.  Motion Field and Optical Flow: Qualitative Properties , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  David S. Johnson,et al.  Computers and Intractability: A Guide to the Theory of NP-Completeness , 1978 .

[11]  Ishwar K. Sethi,et al.  Feature point matching in image sequences , 1988, Pattern Recognit. Lett..

[12]  Shang-Hong Lai,et al.  Estimation of 3-D translational motion parameters via hadamard transform , 1988, Pattern Recognit. Lett..

[13]  Berthold K. P. Horn,et al.  Determining Optical Flow , 1981, Other Conferences.

[14]  Janet Aisbett,et al.  Optical Flow with an Intensity-Weighted Smoothing , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[15]  R. Woodham,et al.  Determining the movement of objects from a sequence of images , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.