Real-time detection of removed objects based on multi-cue fusion

Weiping Sun; Shan Xu; Xiaoping Chen

doi:10.1117/12.833410

30 October 2009 Real-time detection of removed objects based on multi-cue fusion

Weiping Sun, Shan Xu, Xiaoping Chen

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 749507 (2009) https://doi.org/10.1117/12.833410
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Weiping Sun, Shan Xu, and Xiaoping Chen "Real-time detection of removed objects based on multi-cue fusion", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749507 (30 October 2009); https://doi.org/10.1117/12.833410

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