We present a new algorithm that can detect and track a number of small targets or point targets with low contrast through an image sequence taken from a static camera. The issues that we have addressed to achieve this are twofold. Firstly, the detection of small targets or point targets based on order morphology filtering, and secondly, tracking of targets based on image flow analysis. The experiment results show that the method can effectively and reliably detect and track moving small targets or point targets with low SNR comprising high-pass filtering and Kalman track filtering.

Date Published: 24 September 2001
PDF: 6 pages
Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); doi: 10.1117/12.441630

Published in SPIE Proceedings Vol. 4554:
Object Detection, Classification, and Tracking Technologies
Jun Shen; Sharatchandra Pankanti; Runsheng Wang, Editor(s)