Share Email Print

Proceedings Paper

Two novel motion-based algorithms for surveillance video analysis on embedded platforms
Author(s): Julien A. Vijverberg; Marijn J. H. Loomans; Cornelis J. Koeleman; Peter H. N. de With
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

This paper proposes two novel motion-vector based techniques for target detection and target tracking in surveillance videos. The algorithms are designed to operate on a resource-constrained device, such as a surveillance camera, and to reuse the motion vectors generated by the video encoder. The first novel algorithm for target detection uses motion vectors to construct a consistent motion mask, which is combined with a simple background segmentation technique to obtain a segmentation mask. The second proposed algorithm aims at multi-target tracking and uses motion vectors to assign blocks to targets employing five features. The weights of these features are adapted based on the interaction between targets. These algorithms are combined in one complete analysis application. The performance of this application for target detection has been evaluated for the i-LIDS sterile zone dataset and achieves an F1-score of 0.40-0.69. The performance of the analysis algorithm for multi-target tracking has been evaluated using the CAVIAR dataset and achieves an MOTP of around 9.7 and MOTA of 0.17-0.25. On a selection of targets in videos from other datasets, the achieved MOTP and MOTA are 8.8-10.5 and 0.32-0.49 respectively. The execution time on a PC-based platform is 36 ms. This includes the 20 ms for generating motion vectors, which are also required by the video encoder.

Paper Details

Date Published: 4 May 2010
PDF: 9 pages
Proc. SPIE 7724, Real-Time Image and Video Processing 2010, 77240I (4 May 2010); doi: 10.1117/12.851371
Show Author Affiliations
Julien A. Vijverberg, VDG Security B.V. (Netherlands)
Eindhoven Univ. of Technology (Netherlands)
Marijn J. H. Loomans, VDG Security B.V. (Netherlands)
Eindhoven Univ. of Technology (Netherlands)
Cornelis J. Koeleman, VDG Security B.V. (Netherlands)
Peter H. N. de With, Eindhoven Univ. of Technology (Netherlands)
CycloMedia Technology B.V. (Netherlands)

Published in SPIE Proceedings Vol. 7724:
Real-Time Image and Video Processing 2010
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?