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融合运动和统计特征的静态目标检测
引用本文:徐东彬,葛涛,肖创柏,黄磊.融合运动和统计特征的静态目标检测[J].北京工业大学学报,2012,38(7):1079-1086.
作者姓名:徐东彬  葛涛  肖创柏  黄磊
作者单位:1. 交通运输部公路科学研究院北京交科公路勘察设计研究院有限公司,北京,100191
2. 北京工业大学计算机学院,北京,100124
3. 中国科学院自动化研究所,北京,100190
基金项目:北京市自然科学基金资助项目
摘    要:为了解决大部分时间处于相对静止状态目标的智能监控,提出一种融合运动和统计特征的静态目标检测方法.该方法采用行列错位减图像的帧差来提取目标运动特征,根据目标模型和候选区域的统计特征匹配检测目标,利用运动特征和模板的相似性度量动态更新模板.通过积分图优化特征提取及对强光抑制,提高了算法的实时性和鲁棒性.

关 键 词:目标检测  图像运动分析  视频监控

Combining Motion and Statistical Features for Static Object Detection
XU Dong-bin,GE Tao,XIAO Chuang-bai,HUANG Lei.Combining Motion and Statistical Features for Static Object Detection[J].Journal of Beijing Polytechnic University,2012,38(7):1079-1086.
Authors:XU Dong-bin  GE Tao  XIAO Chuang-bai  HUANG Lei
Affiliation:1.RIOH Transport Consultants Ltd.,Research Institute of Highway Ministry of Transport,Beijing 100191,China; 2.College of Computer Science,Beijing University of Technology,Beijing 100124,China; 3.Institute of Automation,Chinese Academy of Science,Beijing 100190,China)
Abstract:To detect the static object which is relatively static in most time,a method for static object detection was proposed by combining motion and statistical features.The image of inter-frame difference,which was formed by one image subtracted from the image with a pixel offset in row and column,was used to obtain the motion feature.The statistic feature of the target region and candidate region was used to detect the target.The template of the target was updated according to the motion feature and similarity between the target and candidate region.By optimizing extraction of the statistic feature with the integral image and elimination disturbance of strong light,the performance of real-time and robust was improved.
Keywords:object detection  image motion analysis  video surveillance
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