CAJ | 학술논문

提出了一种基于隐条件随机场的人体行为识别方法。首先，通过目标检测和目标跟踪提取图像序列中人体所在时空区域；其次，提取人体区域的 Gist 特征作为人体行为视觉描述子；最后，利用隐条件随机场模型对人体行为进行建模和识别。通过大规模试验证明了该方法的有效性，与其他方法的对比实验验证了该方法的优越性。
제출료일충기우은조건수궤장적인체행위식별방법。수선，통과목표검측화목표근종제취도상서렬중인체소재시공구역；기차，제취인체구역적 Gist 특정작위인체행위시각묘술자；최후，이용은조건수궤장모형대인체행위진행건모화식별。통과대규모시험증명료해방법적유효성，여기타방법적대비실험험증료해방법적우월성。
This paper proposes a hidden conditional random field-based human action recognition method. First,the consecutive spatiotemporal region of human body is extracted by object detection and tracking. Then,the Gist feature is computed for each frame within the extracted spatiotemporal region to serve as visual characteristics. At last,the Hidden conditional random field classifier is constructed to model the visual transition within one human action se-quence. Large-scale experimental results demonstrate that the proposed method can recognize human action accurately and outperform the competing methods.