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With the development of information technology, the automatic recognition of human action from video becomes a very popular research topic. In this paper, we review recent state-of-the-art of human action recognition methods in videos. First, we compare several notable handcrafted methods. Then we introduce some deep learning action recognition models. As deep learning becomes hot spot of research...
License Plate Recognition (LPR) is a very important research topic in computer vision of ITS. License plate location is the key step of LPR. Though numerous of techniques have been developed, most approaches work only under restricted conditions such as fixed illumination, limited vehicle license plates,and simple backgrounds. This paper attempts to use the AdaBoost algorithm to build up classifiers...
Driver distraction and fatigue are important factors that cause accidents. We developed a novel machine vision system which can provide the driver's face pose and eye status information as well as the driver's viewing scene. The driving original video information was obtained simultaneously by a panoramic annular lens (PAL) camera in the system. The PAL camera can capture its surroundings with a field...
In this paper we propose a new system to detect obstacles round a vehicle for intelligent driver assistance system. The system consists of a pair of panoramic annular lens (PAL) cameras, which are installed on the top of the vehicle. The panoramic annular lens can project the view of the entire 360 degrees around the optical axis onto an annular plane. Two cameras which are fixed properly can capture...
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