CAJ | 학술논문

针对普通单目监控视频无法得到视频中目标深度信息的问题，以及人体目标在视频画面中因大小变化而不能被准确检测的问题，提出了一种综合双目视觉测距进行视频中人体目标的检测和跟踪的算法。算法可以根据人体目标在视频画面中的大小，按全部人体、人体的肩部以上区域、人脸的顺序进行检测，并显示被检测出的区域相对于摄像机的距离。完成在视频画面中标记检测区域，并显示检测区域和摄像机之间距离的任务。
침대보통단목감공시빈무법득도시빈중목표심도신식적문제，이급인체목표재시빈화면중인대소변화이불능피준학검측적문제，제출료일충종합쌍목시각측거진행시빈중인체목표적검측화근종적산법。산법가이근거인체목표재시빈화면중적대소，안전부인체、인체적견부이상구역、인검적순서진행검측，병현시피검측출적구역상대우섭상궤적거리。완성재시빈화면중표기검측구역，병현시검측구역화섭상궤지간거리적임무。
The target depth information can′t be obtained by existing monocular surveillance video , and the human can′t be detected accurately because the size of human has an obvious change in the video .In order to solve these problems ,an algorithm was presented which included binocular vision to detect and track human in this paper .By using this algorithm ,the human body ,the upper body and the face can be detected continuously according to the size of human in the video .And the distance between the detected region and binocular cameras can be shown .Complete the task which label the detected region and show the distance between the detected region and binocular cameras in the video screen .