Detecting unattended packages in scenes has several applications in video surveillance. This paper proposed an algorithm for automatically detecting unattended packages in surveillance video. This paper proposed an algorithm for automatically detecting unattended packages in surveillance video using information available in the special-temporal accumulative difference picture. The proposed algorithm is able to detect abandoned objects in the surveyed environment and then to alert a human operator whenever a dangerous situation is recognized. The algorithm can handle situations where the background of the scene is cluttered and not completely static but contains small motions such as tree branches and bushes. The experimental results show that the algorithm is able to identify static objects in real video sequences in real time and it is very promising.

Date Published: 15 November 2007
PDF: 7 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678643 (15 November 2007);

Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition
Tianxu Zhang; Tianxu Zhang; Carl Anthony Nardell; Carl Anthony Nardell; Hanqing Lu; Duane D. Smith; Hangqing Lu, Editor(s)