Deep learning-fused pedestrian posture multi-feature intelligent identification method

Abstract

The invention discloses a deep learning-fused pedestrian posture multi-feature intelligent identification method. The method extracts a pedestrian detection frame and a pedestrian position label vector, uses the pedestrian position label vector as a pedestrian trajectory point, and can accurately track all pedestrians. Compared with the prior art, the detection is accurate. The neural network based deep learning method is adopted in the pedestrian detection, and the pedestrian can be quickly and effectively detected and marked, which can meet the requirements for the instant identification ofthe emergency in an actual traffic environment. The method is also suitable for complex environments such as intelligent factories, laboratories, robots, etc.; the re-identification rate is high, andthe neural network automatically extracts high-level abstract features from tracking targets to achieve efficient and rapid matching and re-identification of the tracking targets; and an optimizationalgorithm is used to adjust and optimize network parameters, the accuracy of pedestrian identification is improved, and high robustness is achieved.

Description

technical field [0001] The invention belongs to the field of artificial intelligence, and in particular relates to a multi-feature intelligent identification method of pedestrian postures fused with deep learning. Background technique [0002] With the rapid development of science and technology, pedestrian detection technology using computer vision related technologies has been widely used in all aspects of life, such as intelligent trains, vehicle automatic driving and other fields. Traffic safety is an eternal topic. In vehicle collision accidents, collisions between vehicles and pedestrians also account for a large proportion. Nowadays, traditional safety technologies such as seat belts and airbags have been widely used, but these are passive protection methods. People hope to study the active protection safety system of vehicles, and the accurate identification and tracking of pedestrians is the focus of research. [0003] At present, the mostly used pedestrian track...

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a multi-feature intelligent identification method for pedestrian postures that integrates deep learning, and its purpose is to overcome the situation that the results of pedestrian tracking processing are simple and the accuracy is not high in the surveillance video of the prior art

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