Analysis of Moving Object Detection Algorithm in Video Sequence Images Based on Edge Symmetry
Traditional image processing mainly includes image digitization, dynamic range expansion, enhancement and denoising, compression coding, image feature extraction and so on. Moving target detection is an important subject in the field of applied vision. In real life, a large number of meaningful visu...
Uložené v:
| Vydané v: | 2023 International Conference on Mechatronics, IoT and Industrial Informatics (ICMIII) s. 518 - 522 |
|---|---|
| Hlavný autor: | |
| Médium: | Konferenčný príspevok.. |
| Jazyk: | English |
| Vydavateľské údaje: |
IEEE
01.06.2023
|
| Predmet: | |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Shrnutí: | Traditional image processing mainly includes image digitization, dynamic range expansion, enhancement and denoising, compression coding, image feature extraction and so on. Moving target detection is an important subject in the field of applied vision. In real life, a large number of meaningful visual information is contained in motion, and video sequence images contain rich motion information. In the field of image processing and vision, video sequence moving target detection has a very broad application prospect, and its research results are not limited to the field of scientific research, And more applications in our real life. In this paper, the moving object detection algorithm of video sequence images is studied based on edge symmetry. Through experimental simulation, the effectiveness of the algorithm is verified and analyzed by using quality evaluation index. The results show that the proposed algorithm can suppress the local motion of non target objects and adapt to the slowly changing light. Compared with other algorithms, the proposed algorithm can extract moving targets completely, has high accuracy and strong robustness. |
|---|---|
| DOI: | 10.1109/ICMIII58949.2023.00109 |