基于关键帧的复杂人体行为识别

提出基于关键帧的复杂人体行为识别算法.采用人体轮廓表示人体动作,根据轮廓特征向量采用镜头边界检测将复杂行为片段分解后得到一系列简单行为,分解过程中采用二次采样提高分界点的查全率,采用自分裂竞争学习提取简单行为片段的关键帧.最后根据行为片段中关键帧的相似度进行复杂人体行为的识别,识别过程中综合考虑视觉因子、顺序因子及干扰因子,使行为识别的计算更合理全面.在UCF Sports数据库及自建数据库上的实验表明文中算法具有较高的识别精度.

An approach for complex activity recognition by key frames

A new method for complex activity recognition in videos by key frames was presented. The progressive bisection strategy(PBS) was employed to divide the complex activity into a series of simple activities and the key frames representing the simple activities were extracted by the self-splitting competitive learning(SSCL) algorithm. A new similarity criterion of complex activities was defined. Besides the regular visual factor, the order factor and the interference factor measuring the timing matching relationship of the simple activities and the discontinuous matching relationship of the simple activities respectively were considered. On these bases, the complex human activity recognition could be achieved by calculating their similarities. The recognition error was reduced compared with other methods when ignoring the recognition of simple activities. The proposed method was tested and evaluated on the self-built broadcast gymnastic database and the dancing database. The experimental results prove the superior efficiency.

新能源汽车高压连接器的温度监测研究

随着科技的高速发展,新能源汽车的关键部件高压连接器的可靠性及高温监测越来越重要。对此提出了一种内嵌温度传感器监测高压连接器温度的方法,采用两个PT100热电阻温度传感器分别对环境和高压连接器接触件进行了温度采集,信号放大后由VCU主控芯片完成A/D转换,计算了实测接触件温度与环境温度差值,与系统预设阈值对比,并判断当前接触件温度是否超限并报警。模拟测试台实测数据表明,该方法可有效识别高压连接器温度异常,并及时发出预警。