安徽大学学报（自然科学版）Issue(5)：23-30,8.DOI:10.3969/j.issn.1000-2162.2015.05.005
视频监控场景下行人衣着颜色识别
Clothing color recognition of pedestrians in video surveillance
摘要
Abstract
In recent years ,video surveillance is widely used in country security ,making fine‐grained pedestrian recognition becomes important .In particular ,the clothing color is the most salient feature ,and its recognition accuracy directly influences the retrieval accuracy of specific pedestrians in video retrieval . This paper presented a simple but fast system of pedestrian clothing recognition ,which could effectively identify pedestrian clothing color . Firstly , through combining HOG and Grabcut algorithm , the pedestrians in frames of surveillance could be accurately segmented . Then , we put forward the appearance of partition model which was simple and effective segmentation pedestrian tops and bottoms , and used KNN classification method to determined the color of each patch ,through all the patch color vote to decided what kind of clothing colors .Finally ,experiments were carried out in this collection of surveillance video images data sets ,w hich had verified the validity and practicability of this method .关键词
视频监控/行人分割/颜色识别Key words
video surveillance/pedestrian segmentation/color recognition分类
信息技术与安全科学引用本文复制引用
马元元,李成龙,汤进,罗斌..视频监控场景下行人衣着颜色识别[J].安徽大学学报（自然科学版）,2015,(5):23-30,8.基金项目
国家863计划资助项目（2014AA015104）；国家自然科学基金资助项目（61472002）；国家科技支撑计划资助项目 （）
