计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2009年
22期
159-161
,共3页
累积差分图像%运动目标检测%跟踪%特征点
纍積差分圖像%運動目標檢測%跟蹤%特徵點
루적차분도상%운동목표검측%근종%특정점
Accumulative Difference Picture(ADP)%moving object detection%tracking%interest point
针对视频序列中缓变运动耳标检测与跟踪的问题,改进加权累积差分方法,设计一种快速检测缓变运动目标的权值分配算法.在检测出的运动目标区域中提取特征点,利用最大距离原则确定特征点的匹配范围,根据视差一致性原则,提出非回溯的误匹配检测方法.实验结果表明,该方法能有效提高跟踪的效率和精度.
針對視頻序列中緩變運動耳標檢測與跟蹤的問題,改進加權纍積差分方法,設計一種快速檢測緩變運動目標的權值分配算法.在檢測齣的運動目標區域中提取特徵點,利用最大距離原則確定特徵點的匹配範圍,根據視差一緻性原則,提齣非迴溯的誤匹配檢測方法.實驗結果錶明,該方法能有效提高跟蹤的效率和精度.
침대시빈서렬중완변운동이표검측여근종적문제,개진가권루적차분방법,설계일충쾌속검측완변운동목표적권치분배산법.재검측출적운동목표구역중제취특정점,이용최대거리원칙학정특정점적필배범위,근거시차일치성원칙,제출비회소적오필배검측방법.실험결과표명,해방법능유효제고근종적효솔화정도.
Aiming at the problem of tardo moving object detection and tracking, this paper proposes a new weighted accumulative difference method and works out a weights setting algorithm to fast detect the tardo moving object. It obtains the interest point from the moving area detected, fixes the matching range with the maximum velocity principle and works out a non-traceback mis-matching detection algorithm with the consistency principle. Experimental result shows that the method can enhance the efficiency and precision of our tracking system.