A methodology for determining the resolvability of multiple vehicle occlusion in a monocular traffic image sequence

Clement Chun Cheong Pang; Nelson Hon Ching Yung

doi:10.1117/12.559220

2 November 2004 A methodology for determining the resolvability of multiple vehicle occlusion in a monocular traffic image sequence

Clement Chun Cheong Pang, Nelson Hon Ching Yung

Author Affiliations +

Proceedings Volume 5558, Applications of Digital Image Processing XXVII; (2004) https://doi.org/10.1117/12.559220
Event: Optical Science and Technology, the SPIE 49th Annual Meeting, 2004, Denver, Colorado, United States

Abstract

This paper proposed a knowledge-based methodology for determining the resolvability of N occluded vehicles seen in a monocular image sequence. The resolvability of each vehicle is determined by: firstly, deriving the relationship between the camera position and the number of vertices of a projected cuboid on the image; secondly, finding the direction of the edges of the projected cuboid in the image; and thirdly, modeling the maximum number of occluded cuboid edges of which the occluded cuboid is irresolvable. The proposed methodology has been tested rigorously on a number of real world monocular traffic image sequences that involves multiple vehicle occlusions, and is found to be able to successfully determine the number of occluded vehicles as well as the resolvability of each vehicle. We believe the proposed methodology will form the foundation for a more accurate traffic flow estimation and recognition system.

Citation Download Citation

Clement Chun Cheong Pang and Nelson Hon Ching Yung "A methodology for determining the resolvability of multiple vehicle occlusion in a monocular traffic image sequence", Proc. SPIE 5558, Applications of Digital Image Processing XXVII, (2 November 2004); https://doi.org/10.1117/12.559220

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