Image Tracking and Segmentation Algorithms Based on Laser Sensors and Wireless Network Devices in Sports Target Detection

Abstract

This paper aims to discuss the application of image tracking and segmentation algorithm based on laser sensor and wireless network equipment in moving object detection. Traditional target detection methods have problems in dynamic environment. Therefore, we propose a new integrated method, which combines the high-precision detection ability of laser sensor and the real-time data transmission advantage of wireless sensor network to improve the accuracy and response speed of moving target detection. A laser sensor is used to capture the 3D position information of the target, and an image processing algorithm is used for real-time tracking and segmentation. The acquired data is transmitted wirelessly to a central server for further analysis and processing. A network consisting of multiple wireless sensor nodes is constructed to test the detection performance under different environmental conditions. The results show that the combination of laser sensor and wireless network can significantly improve the detection rate and tracking accuracy of moving targets. Compared with traditional methods, our new algorithm also shows good performance in response time and data transmission efficiency.