Share Email Print
cover

Proceedings Paper

Real-time detection of removed objects based on multi-cue fusion
Author(s): Weiping Sun; Shan Xu; Xiaoping Chen
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In this paper, we propose a method to detect removed or stolen objects in complex environments robustly and efficiently based on the multi-cue adaptive fusion. In this method, the target observation is represented by multiple cues. When fusing each cue, a fusion scheme based on fuzzy logic has been developed. To solve the problem raised by part occlusions, target object is divided into multiple sub-parts and subsequently matching of at least one sub-part between current fields and initial model leads to a final decision that the target object is safe. Furthermore this method can distinguish target object into stolen or occluded objects by analyzing the matching degree of sub-parts with their initial models. Experimental results have demonstrated the effectiveness of the proposed method.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749507 (30 October 2009); doi: 10.1117/12.833410
Show Author Affiliations
Weiping Sun, Huazhong Univ. of Science and Technology (China)
Shan Xu, Huazhong Univ. of Science and Technology (China)
Xiaoping Chen, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis

© SPIE. Terms of Use
Back to Top