Object detection in traffic videos: A survey
H Ghahremannezhad, H Shi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Traffic video analytics has become one of the core components in the evolution of
transportation systems. Artificially intelligent traffic management systems apply computer …
transportation systems. Artificially intelligent traffic management systems apply computer …
Box guided convolution for pedestrian detection
Occlusions, scale variation and numerous false positives still represent fundamental
challenges in pedestrian detection. Intuitively, different sizes of receptive fields and more …
challenges in pedestrian detection. Intuitively, different sizes of receptive fields and more …
Rep-yolo: an efficient detection method for mine personnel
X Shao, S Liu, X Li, Z Lyu, H Li - Journal of Real-Time Image Processing, 2024 - Springer
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 …
However, this detection technique is susceptible to complex environments, resulting in low …
[PDF][PDF] 基于视觉的零部件振动裂纹在线监测系统研究
丁伟利, 任天赐, 谭伟敏, 王文锋 - 电子测量与仪器学报, 2023 - jemi.cnjournals.com
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 …
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 Video Object Detection using Motion Prior
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 …
providing a strong motion prior where objects often move in a specific direction over a short …
Multimodal machine learning for pedestrian detection
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 …
by sensing the environment has motivated researchers to focus on pedestrian detection …
A convolutional feature map-based deep network targeted towards traffic detection and classification
B Kaur, J Bhattacharya - Expert Systems with Applications, 2019 - Elsevier
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 …
perception for robot navigation or autonomous vehicles. This research work focuses on …
Lightweight neural networks for pedestrian detection in intelligent vehicles
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 …
based applications for IV mainly require visual information. In this paper, the authors …
Multi‐dimensional weighted cross‐attention network in crowded scenes
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 …
problem analysis, such as emergency warning and security monitoring platforms. Although …
[PDF][PDF] Real-time Pedestrian Classification System Using Deep Learning on a Raspberry Pi Cluster
Z Huang - University of Calgary, 2019 - prism.ucalgary.ca
Convolutional neural networks (CNN) are commonly used for object classification. However,
CNN is computationally expensive and can have performance issues in real time …
CNN is computationally expensive and can have performance issues in real time …