CAJ | 학술논문

人群目标的准确分割,是进行多相机联合目标跟踪与识别的关键.该文首先构造包含位置、尺寸、姿态信息的人体粗略姿态模型,并利用贝叶斯模型获得对应的目标模型.然后将前景区域利用分水岭算法划分为颜色分布一致的子块,通过位置和颜色约束解决遮挡目标的种子块选取问题.最后通过块生长获得每个目标区域.对于颜色相似子块,通过比较其产生的边缘能量确定其所属目标.实验结果表明,本文能够实现对人群目标较精确分割,且对背景噪声具有一定的抗干扰能力.
인군목표적준학분할,시진행다상궤연합목표근종여식별적관건.해문수선구조포함위치、척촌、자태신식적인체조략자태모형,병이용패협사모형획득대응적목표모형.연후장전경구역이용분수령산법화분위안색분포일치적자괴,통과위치화안색약속해결차당목표적충자괴선취문제.최후통과괴생장획득매개목표구역.대우안색상사자괴,통과비교기산생적변연능량학정기소속목표.실험결과표명,본문능구실현대인군목표교정학분할,차대배경조성구유일정적항간우능력.
Crowd object segmentation is a key issue of the object tracking and recognition in multiple cameras. Human rough models with position, scale and pose information are constructed and then get the corresponding models by using Bayesian model. Then, the foreground is segmented into blocks of similar color distribution. Then the problem of the seed blocks selection is solved thought of color and position information under human inter-occlusion, and human region is received by seed growth. For blocks with similar color, they are merged into the objects by comparing the edge energy they brought. It can be seen that the method could segment the crowd precisely, and is not sensitive to background noise from the experimental results.