Image Matching with Spatially Variant Contrast and Offset: A Quadratic Programming Approach
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Multimodal Abandoned/Removed Object Detection for Low Power Video Surveillance Systems
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Real-time robust background subtraction under rapidly changing illumination conditions
Image and Vision Computing
DSP embedded smart surveillance sensor with robust SWAD-based tracker
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
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In this paper a novel measure for visual correspondence is proposed, to be adopted for common computer vision tasks such as pattern matching, stereo vision, change detection. The proposed measure implicitly exploits the concept of order-preservation between neighbouring pixels and it is suitable for those cases where disturbance factors such as photometric distortions and occlusions occur between the images to be matched. Furthermore, this measure tends to be robust in presence of significant amount of noise which can be introduced, e.g., by cheap camera sensors. Experimental results demonstrate the effectiveness of the proposed approach in a typical template matching scenario as well as in a particular application dealing with secure gate access control.