Detecting and Tracking Moving Objects in Sequences of Color Images
Date
2007
Authors
Kennedy, H.L.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing / sponsored by the Institute of Electrical and Electronics Engineers Signal Processing Society. ICASSP (Conference), 2007, vol.1, pp.I1197-I1200
Statement of Responsibility
Conference Name
2007 IEEE International Conference on Acoustics, Speech, and Signal Processing (15 Apr 2007 - 20 Apr 2007 : Honolulu)
Abstract
A statistical change detector, implemented as a zero-latency finite-memory filter, is used to identify anomalies in temporal pixel statistics. An F-distributed test statistic is computed for each pixel and used in a hypothesis test. The tracker, with automatic track initiation and termination, uses a low-complexity pairwise Joint Probabilistic Data Association (JPDA) algorithm, which has been restricted to consider clusters, (sub-problems) containing no more than two tracks. The track state and clutter model are augmented to include color. The detector and tracker are used to process sample video data. © 2007 IEEE.