CAJ | 학술논문

运动目标检测是视频分析领域的关键技术之一，针对目前全局运动场景下目标检测算法的局限性，该文提出一种多尺度运动注意力融合的目标检测算法，为目标检测问题提供了新思路。该算法通过时-空滤波去除运动矢量场噪声，根据运动注意力形成机理定义运动注意力模型；为提高注意力计算的准确性，定义了目标像素块的测度公式，采用 D-S 证据理论对多尺度空间运动注意力进行决策融合，最终获取运动目标区域位置。多个不同高清视频序列的测试结果表明，该文算法在全局运动场景中能准确对目标进行检测定位，从而有效克服了现有算法的局限性。
운동목표검측시시빈분석영역적관건기술지일，침대목전전국운동장경하목표검측산법적국한성，해문제출일충다척도운동주의력융합적목표검측산법，위목표검측문제제공료신사로。해산법통과시-공려파거제운동시량장조성，근거운동주의력형성궤리정의운동주의력모형；위제고주의력계산적준학성，정의료목표상소괴적측도공식，채용 D-S 증거이론대다척도공간운동주의력진행결책융합，최종획취운동목표구역위치。다개불동고청시빈서렬적측시결과표명，해문산법재전국운동장경중능준학대목표진행검측정위，종이유효극복료현유산법적국한성。
The detection to target in motion is a key technology in video analysis. This paper proposes a target detection algorithm based on a multi-scale motion attention analysis, which provides a new method for motion target detection under a global motion scene. Firstly, the noise of motion vector field is removed by filter, and according to the mechanism of visual attention, spatial-temporal motion attention model is built; then the trust degree of motion vector is suggested on the basis of validity analysis of motion vector, and decision fusion of multi-scale motion attention is accomplished by D-S theory for detecting the region of motion target. The test results of different videos show that the algorithm is able to detect precisely targets under a global motion scene, thus effectively overcoming the limitations of the traditional algorithms.