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
参考文献
[1] 苏娟. 基于视频监控的教室人数统计[D]: [硕士学位论文]. 合肥: 安徽大学, 2014.
[2] 张英. 基于视频的实时人数统计关键技术的研究[D]: [硕士学位论文]. 杭州: 杭州电子科技大学, 2014.
[3] 钱鹤庆, 陈刚, 申瑞民. 基于人脸检测的人数统计系统[J]. 计算机工程, 2012(7): 188-191.
[4] 吴冰. 基于人脸检测的客流量统计研究[D]: [硕士学位论文]. 武汉: 武汉科技大学, 2013.
[5] 文嘉俊, 徐勇, 战萌伟. 基于AdaBoost和帧间特征的人数统计[J]. 中国图象图形学报, 2011(9): 1729-1735.
[6] 张丙坤. 基于人头检测的人数统计算法研究[D]: [硕士学位论文]. 西安: 西安科技大学, 2013.
[7] 孙统义. 实时视频监控人数统计关键技术研究[D]: [硕士学位论文]. 长沙: 国防科学技术大学, 2011.