A Specific Pedestrian Tracking Method Based on Particle Filter and Multi-Feature Fusion

doi:10.3969/j.issn.1006-2475.2014.10.023

Abstract

Abstract: For the target tracking of specific pedestrians, a particular pedestrian tracking approach based on multi-feature fusion and particle filter is proposed. The approach uses the space pyramid matching model for reference to divide the target in space, then extracts color features and LTP features from each sub-region of the target, finally, integrates particle filter to determine the location of the target pedestrians. The experimental results show that the approach can effectively distinguish between target and background. Moreover, it can effectively track the target in the case of occluded.


Key words: target detection, specific pedestrian, particle filter, feature fusion

CLC Number:

TP391.41

YU Gui-lan. A Specific Pedestrian Tracking Method Based on Particle Filter and Multi-Feature Fusion[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2014.10.023.

References

［1］曲昭伟,魏福禄,魏巍,等. 雷达与视觉信息融合的行人检测方法［J］. 吉林大学学报(工学版), 2003,43(5):1230-1234.
［2］林建华,刘党辉,邵显奎. 多特征融合的Camshift算法及其进一步改进［J］. 计算机应用, 2012,32(10):2814-2816,2820.
［3］许晓航,肖刚,云霄,等. 复杂背景及遮挡条件下的运动目标跟踪［J］. 光电工程, 2013,40(1):23-30.
［4］杨元喜. 动态Kalman滤波模型误差的影响［J］. 测绘科学， 2006,31(1):17-19.
［5］林庆,徐小刚,詹永照,等. 基于混合粒子PHD滤波的多目标视频跟踪［J］. 模式识别与人工智能, 2013,26(9):885-890.
［6］ Tan Xiao-yang, Triggs B. Enhanced local texture featuresets for face recognition under difficult lighting conditions［J］. IEEE Transactions on Image Processing, 2010:1635-1650.
［7］ Lazebnik S， Schmid C， Ponce J. Beyond bags of features：Spatial pyramid matching for recognizing natural scene categories［C］// 2006 Conference on Computer Vision and Pattern Recognition. New York， USA， 2006:2169-2178.
［8］ Zhao Guoyin, Pietikainen M. Improving rotation invariance of the volume local binary pattern operator［C］// IAPR Conference on Machine Vision Applications. 2007:327-330.
［9］ Wang Liwei, Zhang Yan, Feng Jufu. On the Euclidean distance of images［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005,27(8):1334-1339.
［10］林庆,徐柱,王士同,等. HSV自适应混合高斯模型的运动目标检测［J］. 计算机科学, 2010,37(10):254-256.
［11］林庆,史振杰,詹永照,等．基于感兴趣区域的运动人体跟踪［J］. 江苏大学学报(自然科学版), 2010,31(2):206-209.
［12］程水英,张剑云. 粒子滤波评述［J］. 宇航学报, 2008,29(4):1099-1111.
［13］蒋蔚. 粒子滤波改进算法研究与应用［D］. 哈尔滨:哈尔滨工业大学, 2010.
［14］Sawada T, Tezuka A. High-order Gaussian quadrature in X-FEM with the lagrange-multiplier for fluid-structure coupling［J］. International Journal for Numerical Methods in Fluids, 2010,64(10-12):1219-1239.
［15］盛宝怀,刘三阳. 拟不变凸集值优化的Kuhn-Tucker条件与Wolfe对偶［J］. 应用数学和力学, 2006,27(12):1447-1456.
［16］王国胜. 核函数的性质及其构造方法［J］. 计算机科学, 2006,33(6):172-174.
［17］Chen Ken, Chul Gyu Jhun. Multi-target visual tracking and occlusion detection by combining Bhattacharyya coefficient and kalman filter innovation［J］. Journal of Electronics(China), 2013,30(3):275-282.

[1]	NING Juan, ZHOU Qing-hua, ZENG Xiao-wei. Application of Improved YOLOv7 Algorithm in Detection of Capping Defects of Vials [J]. Computer and Modernization, 2023, 0(12): 82-86.
[2]	OU Jia-cheng, ZENG An, JIN Liang. CP-YOLOX-based Algorithm for Protein Target Detection in Cryo-electron Micrographs [J]. Computer and Modernization, 2023, 0(11): 113-119.
[3]	CHEN Jun-yi. Health Event Prediction Model Based on Dynamic and Static Features of Graph Nodes [J]. Computer and Modernization, 2023, 0(10): 39-44.
[4]	XING Shi-shuai, LIU Dan-feng, WANG Li-guo, PAN Yue-tao, MENG Ling-hong, YUE Xiao-han. Image Super-resolution Reconstruction Based on Spatial Attention Residual Network [J]. Computer and Modernization, 2023, 0(10): 45-52.
[5]	CHEN Jia-min, ZHANG Bo-quan, MAI Hai-peng. Hippocampus Segmentation Based on Feature Fusion [J]. Computer and Modernization, 2023, 0(08): 1-6.
[6]	WANG Hong, GE Hong. Cross Modal Hash Retrieval Based on Attention Mechanism and Semantic Similarity [J]. Computer and Modernization, 2023, 0(08): 44-53.
[7]	LIU Yu-shan, LIU Wei-kang, LIU Qing-hua, ZHE Tian-tian, WANG Jia-cheng. Pedestrian Detection Algorithm for Ship-borne Vehicles Based on YOLOX Combined#br# with DeepSort [J]. Computer and Modernization, 2023, 0(08): 60-67.
[8]	HU Rui-jie, CHE Dou. Review of Infrared Small Target Detection [J]. Computer and Modernization, 2023, 0(08): 79-86.
[9]	WANG Jie, PAN Feng, ZHANG Yan-sha, TAN Mian, YAN Xiao-bo, WANG Lin, . Surface Defect Classification of Aluminum Profiles with Weighted Non-local Modules [J]. Computer and Modernization, 2023, 0(05): 86-92.
[10]	ZHU Li-qing, LI Xiang, . Vehicle Detection of Remote Sensing Images Based on Improved YOLOv5 Algorithm [J]. Computer and Modernization, 2023, 0(05): 117-121.
[11]	GUO Zhi-dong, LIU Jun, YANG Fan, ZHOU Xin, CHEN Liang-liang. Intelligent Traffic Light Control System Based on Machine Vision [J]. Computer and Modernization, 2023, 0(04): 101-105.
[12]	TANG Hao-wei, YAO Jun-cai, YAO Cong-ying, SUN Ying, PEI Xing-yi, SONG Chun-xiao. Multi-target Detection of Transmission Lines Based on Improved YOLOv5 [J]. Computer and Modernization, 2023, 0(02): 78-82.
[13]	ZHANG Xiao-dong, WANG Xu-ying, QIN Zi-xuan. Pump Detection Period Predicting of Pump Well Based on Feature Fusion [J]. Computer and Modernization, 2022, 0(12): 60-66.
[14]	WANG Chang-jun, PENG Cheng, LI Yong. Multi-feature Fusion Ship Target Detection Algorithm in Complex Environment [J]. Computer and Modernization, 2022, 0(11): 81-88.
[15]	YIN Chu, ZHAO Qi-lin, RUI Ting, YUAN Hui, WANG Jian. Crack Target Detection Algorithm Based on Adaptive Anchor Frame [J]. Computer and Modernization, 2022, 0(11): 95-101.