A Multimodal Constellation Model for Object Category Recognition
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
Vehicle tracking from disparate views
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Multi lane vehicle orientation extractions using multi views from roadside cameras
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Patch-based experiments with object classification in video surveillance
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
High dimensional versus low dimensional chaos in MPEG-7 feature binding for object classification
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
A multimodal constellation model for object image classification
Journal on Image and Video Processing - Special issue on selected papers from multimedia modeling conference 2009
Attribute-based vehicle search in crowded surveillance videos
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
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In this paper we propose an approach to vehicle classification under a mid-field surveillance framework. We develop a repeatable and discriminative feature based on edge points and modified SIFT descriptors, and introduce a rich representation for object classes. Experimental results show the proposed approach is promising for vehicle classification in surveillance videos despite great challenges such as limited image size and quality and large intra-class variations. Comparisons demonstrate the proposed approach outperforms other methods.