Traffic video analytics has become one of the core components in the evolution of
transportation systems. Artificially intelligent traffic management systems apply computer …

Occlusions, scale variation and numerous false positives still represent fundamental
challenges in pedestrian detection. Intuitively, different sizes of receptive fields and more …

The detection of underground personnel is one of the key technologies in computer vision.
However, this detection technique is susceptible to complex environments, resulting in low …

金属零部件的质量检测是劳动密集型工作, 一般通过疲劳测试评价金属零部件质量,
对金属零部件质量进行准确评估的依据, 能够指导设计合理的机械结构并有效减少安全事故和 …

Traffic videos inherently differ from generic videos in their stationary camera setup, thus
providing a strong motion prior where objects often move in a specific direction over a short …

Designing and developing autonomous vehicles that are capable of moving safely on roads
by sensing the environment has motivated researchers to focus on pedestrian detection …

Vehicle detection and classification is an important task for street surveillance and scene
perception for robot navigation or autonomous vehicles. This research work focuses on …

Most actual intelligent vehicles (IV) are powered by a variety of sensors and cameras. Vision-
based applications for IV mainly require visual information. In this paper, the authors …

Human detection in crowded scenes is one of the research components of crowd safety
problem analysis, such as emergency warning and security monitoring platforms. Although …

Convolutional neural networks (CNN) are commonly used for object classification. However,
CNN is computationally expensive and can have performance issues in real time …