WiMi Hologram Cloud Inc (WIMI)

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WIMI develops a target tracking algorithm system based on multi-feature fusion.

Source
https://cj.sina.com.cn/articles/view/2311077472/89c03e60020023ogi

March 13, 2023

With the continuous development of computer technology and artificial intelligence, many new forms of human-computer interaction have emerged. Human motion tracking and recognition based on computer vision is becoming a new generation of human-computer interaction technology. In practical application scenarios, human motion recognition and tracking put forward higher requirements for algorithm processing speed, accuracy and hardware conditions.

Due to the complexity of human motion, traditional 3D recognition and detection methods for depth images are not very accurate and reliable. In addition, a single feature cannot adapt to the dynamic changes of the scene, and the target tracking algorithm based on a single feature is difficult to obtain robust tracking results. If multiple features are fused and applied to the tracking algorithm, the complementarity between different features can be used to better adapt to scene changes and obtain robust tracking results.

To this end, WIMI has developed a target tracking algorithm system based on multi-feature fusion. It detects, extracts, recognizes, and tracks human moving objects in images and video sequences, and obtains relevant parameters of moving objects, such as position, speed, and trajectory, and then processes them to achieve higher-level tasks.

WIMI Hologram's target tracking algorithm system based on multi-feature fusion recognizes and analyzes the position and movement of the human body through image processing and analysis technology, machine learning and pattern recognition. Includes recognition, classification, and visual processing of human objects, as well as processing-related position detection, motion analysis, and behavioral understanding. The purpose of target tracking is to accurately identify the region of interest of the target in a continuous image sequence, and obtain motion data such as target velocity and trajectory, and provide a basis for solving various subsequent advanced vision problems such as target behavior analysis and target recognition. Capture human body motion data and extract features, then integrate the extracted human body images into mixed reality, combine human body images with mixed reality, and obtain human body images in mixed reality.

With the continuous development of artificial intelligence and virtual reality technology, the human-computer interaction system has become the current focus of attention. Human motion recognition and tracking is an important way of human-computer interaction, and it has broad application prospects in the fields of games, intelligent robots, and smart homes.