Publications (3)0 Total impact
Conference Proceeding: Detection of Front-View Vehicle with Occlusions Using AdaBoost[show abstract] [hide abstract]
ABSTRACT: In this paper, we propose a vehicle detection method based on AdaBoost. We focus on the detection of front-view car and bus with occlusions on highway. Samples with different occlusion situations are selected into the training set. By using basic and rotated Haar-like features extracted from the samples in the set, we train an AdaBoost-based cascade vehicle detector. The performance tests on static images and short time videos show that (1) our approach detects cars more effectively than buses (2) the real-time detection of our method on video proceeds at 30 frames per second.Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on; 01/2010
Conference Proceeding: Visual Selection and Attention Shifting Based on FitzHugh-Nagumo Equations.Advances in Neural Networks - ISNN 2010, 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part II; 01/2010
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ABSTRACT: The paper investigates a locally coupled neural oscillator autonomous system qualitatively. To obtain analytical results, we choose an approximation method and obtain the set of parameter values for which an asymptotically stable limit cycle exists, and then give sufficient conditions on the coupling parameters which can guarantee asymptotically global synchronization of oscillators given the same external input. The above results are potentially useful to analytical and numerical work on the binding problem in perceptual grouping and pattern segmentation.