Output details
11 - Computer Science and Informatics
University of Dundee
Article title
People detection in low-resolution video with non-stationary background
Type
D - Journal article
Title of journal
Image and Vision Computing
Article number
-
Volume number
27
Issue number
4
First page of article
437
ISSN of journal
0262-8856
Year of publication
2009
URL
-
Number of additional authors
1
Additional information
<23> This paper developed a framework for robust people detection in low resolution image sequences of highly cluttered dynamic scenes with non-stationary background. Our model boosts appearance features together with short- and long-term motion information. Outputs from the detector are maintained by a tracker and a Bayesian model to correct any misdetections. Experiments show that our model is more robust with better detection rate compared to the existing model. This work is supported by INSIGHT (GR/S63687/01) project funded by EPSRC and MOD DSTL
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
4
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
