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Full-Text Articles in Physical Sciences and Mathematics
Survey On Pedestrian Detection Based On Statistical Classification, Li Wei, Pengjie Wang, Haiyu Song
Survey On Pedestrian Detection Based On Statistical Classification, Li Wei, Pengjie Wang, Haiyu Song
Journal of System Simulation
Abstract: As one of the most important areas of research in the domain of computer vision and intelligent tranffic, pedestrian detection has attacted extensive interest from the research community in recent years. Because the detection based on statistical classification method is efficient, it has been widely applied. Pedestrian detection method was focused based on statistical classification. Standard dataset for evaluation of human detection was reviewed, studying the statistics about these dataset. Extracted features and the improvement on them were summarized. The main classifier for pedestrian detection was summarized. The present problems and future research trends in pedestrian detection were proposed.
Survey On Parallel Collision Detection Algorithms, Fuchang Liu, Shuangjian Wang, Zhigeng Pan, Jinrong Wang
Survey On Parallel Collision Detection Algorithms, Fuchang Liu, Shuangjian Wang, Zhigeng Pan, Jinrong Wang
Journal of System Simulation
Abstract: The demand for real-time collision detection is increasing in different applications. Exploiting the parallel computing capability of multi-core CPUs and GPUs to accelerate the speed of collision detection algorithms has attracted abroad attention. This paper reviews the development history of collision detection algorithms and classified the existing algorithms from multiple perspectives. Moreover, we analyze the strengths and weaknesses of more than ten representative parallel collision detection algorithms based on multi-core CPUs and GPUs from the aspects of the scalability, memory consumption and workload balancing. Finally, the problem of present parallel collision detection research and potential direction of following research …