计算机工程Issue(5)：219-223,5.DOI:10.3969/j.issn.1000-3428.2015.05.040
复杂背景中一种特定运动目标检测与跟踪方法
A Method of Specific Moving Objects Detection and Tracking in Complex Background
摘要
Abstract
Aiming at the disadvantageous affects caused by moving object detection and tracking in complex background of video scenes,a new method of detecting and tracking specific moving objects using adaptive moving energy threshold combined with compact colored SIFT descriptor is proposed. For detection of moving objects, disturbance of complex environment is filtered out automatically by adaptive moving energy threshold. Principal Components Analysis is applied to the Colored SIFT descriptor( PCA-CSIFT) for objects matching. Thereby the continuous tracking of specific moving objects is achieved. Extensive experiments on bench datasets show that,in complex background,the moving objects tracking method is not sensitive to the amount of objects and the ratio of error is stabilized at 6. 5% ~34%. The PCA-CSIFT holds high distinctiveness and robustness with ratio of mismatches 25. 33% ~28%. The average processing time of each frame is no more than 0. 26 s,so the method meets the need of real time.关键词
运动目标检测/运动目标跟踪/自适应运动能量阈值/复杂背景/目标匹配Key words
moving objects detection/moving objects tracking/adaptive moving energy threshold/complex background/objects matching分类
信息技术与安全科学引用本文复制引用
马超,沈微,董景峰..复杂背景中一种特定运动目标检测与跟踪方法[J].计算机工程,2015,(5):219-223,5.基金项目
中央高校基本科研业务费专项基金资助项目“物联网中非结构化数据流的数据挖掘方法研究”(DL11BB21) （DL11BB21）
黑龙江省教育厅科学技术研究基金资助项目“智能供应链中非结构化数据流的数据挖掘算法研究”(12513014)。 （12513014）
