Human body tracing method and equipment thereof

Abstract

The present invention relates to a human body tracking method under a complex background and a device thereof. The method comprises the steps as follows: a pixel point set is obtained in terms of a human body initial position (y0); the space characteristic and the color characteristic of pixel points in the set are calculated; the human body position (y1) at a current frame in terms of the space characteristic and the color characteristic is calculated. The present invention integrates space position information into color information and combines a human body detection technology to correct a human body tracking result, thereby improving the comprehensive tracking ability further.

Description

technical field [0001] The invention relates to a human body tracking method and equipment, in particular to a method and equipment for tracking a human body in a complex background. Background technique [0002] Moving target detection and tracking is an important topic in the field of computer vision, and it is widely used in many aspects such as video surveillance, robot navigation, and human-computer interaction. At present, it is more popular to connect the pan-tilt to control the camera, and its core pan-tilt control method is designed based on the human body tracking technology. [0003] In the actual monitoring scene, due to the influence of factors such as camera movement and weather changes, the background image has many complex changes. However, most of the existing methods do not deal well with such complex background changes, such as the commonly used mean shift algorithm. Since this method only considers the color information of the candidate human target, bu...

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Problems solved by technology

However, most of the existing methods do not deal well with such complex background changes, such as the commonly used mean shift algorithm

Since this method only considers the color information of the candidate human target, but ignores its spatial position information, the processing effect is not good when the background color distribution near the moving human target is similar to the target color, which may easily lead to tracking failure.

Another commonly used tracking method, the particle filter method, needs to set a large number of particle points, and the calculation is too large, which is not conducive to real-time processing.

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