摘要
基于视频流的运动人体行为识别是一项既具有挑战性同时又非常具有广阔应用前景的研究课题.行为识别是基于人体目标识别和人体跟踪更高级的计算机视觉部分,研究出一种健壮的行为识别算法具有重要的理论意义和广泛的应用前景。利用在视频的基础上提取出位置分布图、大小分布图等一系列的属性将人的行为进行分类。采用基于帧间差分和改进混合高斯模型的运动人体分割算法,解决了复杂背景下的运动目标检测问题。实验数据对提出的新的行为描述方法进行了各种指标的讨论,验证了本文提出的算法的合理性与高效性。
Moving human behavior recognition based on a video stream is a challenging research topic, which has broad application prospects at the same time. Behavior recognition is a part of more advanced computer vision based on the human target recognition and tracking human body. It has important theoretical significance and broad prospect to develop a robust behavior recognition algorithm. On the basis of the video, using a series of properties to classify the human behavior, location distribution, size distribution, etc. Human Movement based on the frame difference and improved Gaussian mixture model segmentation algorithm to solve the problem of moving target detection under complex background. The experimental data discussed various indicators on the behavior of the proposed new description method, which verifies the rationality and efficiency of the proposed algorithm.
出处
《电子设计工程》
2015年第12期105-108,共4页
Electronic Design Engineering
基金
国家自然科学基金(61471182)
关键词
行为分类
特征提取
行为识别
运动目标检测
behavior classification
feature extraction
behavior recognition
moving object detection
作者简介
胡兴旺（1987-），男，河南。项城人，硕士。研究方向：模式识别，图像处理。
