Research Article
Research on Abnormal Target Recognition of Full Information Mobile Monitoring Based on Machine Vision
@INPROCEEDINGS{10.1007/978-3-031-28867-8_52, author={Yudong Wei and Yuhong Xia}, title={Research on Abnormal Target Recognition of Full Information Mobile Monitoring Based on Machine Vision}, proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2023}, month={3}, keywords={Machine vision Full information Mobile monitoring Abnormal target Target identification Monitoring objectives}, doi={10.1007/978-3-031-28867-8_52} }- Yudong Wei
Yuhong Xia
Year: 2023
Research on Abnormal Target Recognition of Full Information Mobile Monitoring Based on Machine Vision
ADHIP PART 2
Springer
DOI: 10.1007/978-3-031-28867-8_52
Abstract
When the color of moving object is close to the background, the accuracy of moving object recognition is affected. So the method of moving object recognition based on machine vision is designed. In order to reduce the distortion of image edge position, the moving object is calibrated and corrected by vision. In order to reduce the influence of noise to a controllable range, the full information mobile monitoring image is enhanced to preserve the image details. The edge features obtained from view and template are calculated by moment, and the similarity is obtained. Then the contour feature of moving monitoring target is extracted based on machine vision. Segmentation of the background region, according to the moving object trajectory center point information such as speed, direction and so on to determine whether the trajectory is abnormal events. The proposed method is tested on INRIA dataset and Vehicle Reld dataset, and the results show that the proposed method can improve the accuracy and recall rate and has good detection performance.
