These developments not only underscore the model's effectiveness in practical scenarios but also represent a noteworthy contribution to image recognition technology for agricultural and environmental safety. Looking to the future, there is ample scope to expand this research. Exploring other object ...
Wang, Y., Li, M., Cai, H., Chen, W.-M. & Han, S. Lite pose: Efficient architecture design for 2d human pose estimation. InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 13126–13136 (2022). Luo, Z.et al.Rethinking the heatmap regression for...
The CCAM-Person model utilizes the YOLOv8 detection algorithm to perform real-time localization and recognition of human targets in the image. At the same time, it applies a binary classification-like approach to detect all possible human keypoints in the image. Finally, a post-processing operati...
Additionally, some models may face the challenge of reduced recognition accuracy in situations with inadequate lighting underground. 3. Materials and Methods This paper introduces a lightweight object recognition algorithm tailored for fully mechanized coal mine working faces. The algorithm employs ...
Compared to traditional electromagnetic signal detection methods such as radar, laser, infrared, audio, and radio frequency, object detection using visual sensors, specifically cameras capturing group videos and image data, offers more intuitive detection and the recognition of groups’ information. It ...
Through its advanced adaptive learning rate adjustment mechanism, the training process of the model was further accelerated, and the recognition accuracy was improved. A centralized feature pyramid network EVC (CFP-EVC) module has been added to improve the ability of the model to detect bearing ...
Driver Cell Phone Usage Detection on Strategic Highway Research Program (SHRP2) Face View Videos. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, Boston, MA, USA, 7–12 June 2015; pp. 35–43. [Google Scholar] Wang, J. Driver Cell Phone Usage ...
To solve this problem, this paper intends to adopt the embedded decomposition algorithm based on the local least squares support vector to transform the pedestrian information into vectors, so as to realize the effective recognition of complex scenes. The research results of this paper can effectively...