Complex traffic scenes are susceptible to the occlusion of moving targets and blurred target
images, resulting in incomplete extraction of target trajectories within the field of view (FOV) …

The performance of a computer vision system depends on the accuracy of visual information
extracted by the sensors and the system's visual-processing capabilities. To derive optimum …

矿山作业通常在地形复杂, 自然环境恶劣的野外开展, 使得针对作业人员的安全监管难以有效
开展. 为帮助企业实现安全生产, 提出针对矿山作业场景的安全帽穿戴规范性识别算法 …

Multiple-Object Tracking (MOT) has become more popular because of its commercial and
academic potential. Though various techniques were devised for managing this issue, it …

Graphics processing units and tensor processing units coupled with tiny machine learning
models deployed on edge devices are revolutionizing computer vision and real-time …

Visual perception and road scene understanding are critical components of autonomous
driving (AD). Detecting objects and predicting surrounding road user behavior are important …

This chapter reviews state-of-the-art approaches generally present in the pipeline of video
analytics on urban scenarios. A typical pipeline is used to cluster approaches in the …

This work compiles the different computer vision-based approaches from the state-of-the-art
intended for video analytics in urban environments. The manuscript groups the different …