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As the global threat of terrorism continues to escalate, finding efficient ways to ensure the safety of the public is becoming a major concern for the authorities. This paper presents an investigation of scanning and detection of concealed weapons with possible applications in high risk areas like airports. Using a passive and non-intrusive scanning method like Infrared (IR) imaging, and combining...
Object category detection with large appearance variation is a fundamental problem in computer vision. The appearance of object categories can change due to intra-class variability, viewpoint, and illumination. For object categories with large appearance change a sub-categorization based approach is necessary. This paper proposes a sub-category optimization approach that automatically divides an object...
A method of object detecting based on local contour learning and matching is proposed. Firstly, the representative images are obtained through unsupervised clustering to be as templates. The local contour information of template is extracted and generalized as the template feature, at the same time, codebook dictionary of local contour is built up. Secondly, based on codebook dictionary, using simple...
Road detection is a vital task for the development of autonomous vehicles. The knowledge of the free road surface ahead of the target vehicle can be used for autonomous driving, road departure warning, as well as to support advanced driver assistance systems like vehicle or pedestrian detection. Using vision to detect the road has several advantages in front of other sensors: richness of features,...
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