Object tracking for video annotation

Shuqun Zhang

doi:10.1117/12.560324

2 November 2004 Object tracking for video annotation

Shuqun Zhang

Proceedings Volume 5558, Applications of Digital Image Processing XXVII; (2004) https://doi.org/10.1117/12.560324
Event: Optical Science and Technology, the SPIE 49th Annual Meeting, 2004, Denver, Colorado, United States

Abstract

This paper describes a system for tracking objects in a video stream obtained from a moving airborne platform, which is applied to annotate video objects automatically. The object to annotate is indicated by a mouse click. The proposed tracking algorithm uses a spatio-temporal segmentation followed by temporal tracking. It differs from existing techniques by the following features. The same algorithm is used in tracking both moving and stationary objects by making the stationary objects "move." It is general enough to handle any objects of various types and sizes including point objects. The system has a fast implementation because all image operations are applied on small image regions only. The effectiveness of the proposed algorithm is demonstrated on a few real video sequences.

Citation Download Citation

Shuqun Zhang "Object tracking for video annotation", Proc. SPIE 5558, Applications of Digital Image Processing XXVII, (2 November 2004); https://doi.org/10.1117/12.560324

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KEYWORDS

Video

Image segmentation

Detection and tracking algorithms

Unmanned aerial vehicles

Cameras

Motion estimation

Edge detection

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