Affiliations: [a] School of Electronics and Information Engineering, Qinzhou University, Qinzhou, China
| [b]
The Key Laboratory for Advance Technology To Internet of Things, Qinzhou, China
| [c] Department Statistics, Chulalongkorn University, Bangkok, Thailand
Abstract: Using the current recognition system to recognize dynamic scene cannot effectively speed up the target recognition. When target recognition increases, the accuracy of target recognition is relatively low. In order to solve this problem, a target recognition system of dynamic scene based on DSP was designed. Combined with the idea of DSP system design, the design process and composition of target recognition system was expounded. The recognition algorithm based on spatial-temporal condition information was used to realize the designed recognition system. By introducing the visual attention mechanism, the spatial-temporal domain model based on visual significance was built. The pixel neighborhood weighted condition information was used as classification features to enhance the linear separability for target and background and improve the recognition accuracy of dynamic scene moving target. Finally, combined with image block modeling strategy, the efficient and real-time recognition of moving target in dynamic scene was realized. Experimental results show that the proposed target recognition system can effectively improve the accuracy of target recognition.
Keywords: Artificial intelligence vision, dynamic scene, target recognition, recognition system
