电子学报Issue(4)：672-678,7.DOI:10.3969/j.issn.0372-2112.2014.04.008
融合热释电红外传感器与视频监控器的多目标跟踪算法
Multi-Object Tracking Scheme with Pyroelectric Infrared Sensor and Video Camera Coordination
摘要
Abstract
The error tends to be significant in many existing pyroelectric infrared sensor based multi-object tracking systems when the measured objects get close to each other or their trajectories have intersections .To solve this problem ,we proposed a mul-ti-object tracking scheme by having pyroelectric infrared sensors and video cameras work cooperatively .This scheme takes the ad-vantages of both kinds of sensors ,which help to improve the performance compared to those using any kind of such sensors .In the proposed scheme ,we first achieve coarse positioning using least square method with data collected by pyroelectric infrared sensors , and then we correct the incidence matrix in joint probabilistic data association with features extracted from the images or the fre -quency responses of pyroelectric sensors .The coarse positioning is further filtered by joint probabilistic data association algorithm to obtain the final fine result .Such a method prevents false association effectively .Experimental results show that the tracking error of the proposed scheme in multi-object crossover scenario reduces to a quarter ,even to one eighth of the errors that exist in the com-pared schemes .关键词
热释电红外(PIR)传感器/视频监控器/目标跟踪/联合概率数据关联算法Key words
PIR (pyroelectric infrared radial) sensor/video camera/human body tracking/JPDA (joint probabilistic data as-sociation)分类
信息技术与安全科学引用本文复制引用
李方敏,姜娜,熊迹,张景源..融合热释电红外传感器与视频监控器的多目标跟踪算法[J].电子学报,2014,(4):672-678,7.基金项目
国家自然科学基金 （）
