结合多特征融合算法的人数统计与分析系统
People Counting System Combined with Multi-Feature Fusion Algorithm
作者: 李宏广 , 范 红 , 许武军 ：东华大学信息科学与技术学院，数字化纺织服装技术教育部工程研究中心，上海;
关键词: 交叉编译； ZYNQ FPGA SOC； AdaBoost； 多特征融合算法； Cross-Compiling； ZYNQ FPGA SOC； AdaBoost； Multi-Feature Fusion Algorithm
摘要:Abstract: In order to achieve high accuracy people counting, the embedded platform is designed in this pa-per. The system realizes real-time target detection and tracking using the cross compiler, to achieve the number of people within the designated area. The system uses the AdaBoost classifier image/video target recognition and feature extraction based on Haar for target tracking. The combination of multi-feature fusion algorithm and face recognition parameters adaptive algorithms is proposed in Xilinx’s Zynq-7000 development board to achieve the goal of real-time and fast statistics and analysis. The results show that: The system saves resources of embedded platforms and simplifies the entire system development process, improving the whole compatibility and portability. It can realize people counting and analysis in the image/video with accuracy rate of more than 97%. Basically it meets the requirements of human counting in traffic statistics: Parallel processing, high accuracy, stable and reliable, etc.
文章引用: 李宏广 , 范 红 , 许武军 (2016) 结合多特征融合算法的人数统计与分析系统。 图像与信号处理， 5， 95-104. doi: 10.12677/JISP.2016.53013
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