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• W2789438996 abstract "In a hybrid camera system combining an omnidirectional and a Pan-Tilt-Zoom (PTZ) camera, the omnidirectional camera provides 360 degree horizontal field-of-view, whereas the PTZ camera provides high resolution at a certain direction. This results in a wide field-of-view and high resolution camera system. In this paper, we exploit this hybrid system for real-time object classification and tracking for traffic scenes. The omnidirectional camera detects the moving objects and performs an initial classification using shape-based features. Concurrently, the PTZ camera classifies the objects using high resolution frames and Histogram of Oriented Gradients (HOG) features. PTZ camera also performs high-resolution tracking for the objects classified as the target class by the omnidirectional camera. The object types we worked on are pedestrian, motorcycle, car and van. Extensive experiments were conducted to compare the classification accuracy of the hybrid system with single camera alternatives." @default.
• W2789438996 created "2018-03-29" @default.
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• W2789438996 creator A5063679164 @default.
• W2789438996 date "2017-10-01" @default.
• W2789438996 modified "2023-09-24" @default.
• W2789438996 title "Classification and tracking of traffic scene objects with hybrid camera systems" @default.
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• W2789438996 doi "https://doi.org/10.1109/itsc.2017.8317588" @default.
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