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Multi-object Tracking Method Fused with Salient Features and Block Templates

A multi-target tracking and significant technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as difficulty in continuous and accurate tracking, lack of exact position information of individual targets, and disordered positioning of a single target, achieving fast tracking and scene interference Strong ability and the effect of improving self-adaptive ability

Active Publication Date: 2017-04-05
南京雷斯克电子信息科技有限公司
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AI Technical Summary

Problems solved by technology

Since the global template of the occluded target is not updated during the entire occlusion process, it is difficult to continuously and accurately track when the target is partially occluded for a long time and the appearance of the target gradually changes.
If the mutually occluded targets have similar appearances, the lack of exact location information of target individuals during the merging process will cause confusion in the positioning of individual targets when the targets are separated.

Method used

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  • Multi-object Tracking Method Fused with Salient Features and Block Templates
  • Multi-object Tracking Method Fused with Salient Features and Block Templates
  • Multi-object Tracking Method Fused with Salient Features and Block Templates

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Embodiment Construction

[0071] Preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0072] Multiple targets in mutual occlusion are often partially observable. If the position and area where occlusion occurs can be accurately judged, even partial observable information of fragments can be used to realize target positioning and template update. On the other hand, when the human eye tracks the target, it is not only based on the visual stimulation of the main color of the target (large coverage area), but also those moving pixels and significant colors with large contrast to the background, even if the coverage is small, there is no difference between the main color and the background. When the color is similar and the target is partially blocked, it can often become an important basis for target positioning.

[0073] According to this analysis, 1) If the target area is evenly divided into blocks, a block-based motion and colo...

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Abstract

The invention provides a multi-target tracking method integrating obvious characteristics and block division templates. A target motion area is detected by adoption of RGB component background difference and an iterative threshold, and the adaptive ability of a motion detection algorithm to scene illumination change is improved. Based on target area block division, a motion pixel color saliency weighted block centroid model, block centroid shifting fusion and a scale updating method, the calculation efficiency is high, the resistance to partial occlusion is high, and the similar color scene jamming ability is strong. The problem of multi-target measuring-tracking distribution is solved by adoption of two-level data association, and an occluded local area can be accurately positioned. Therefore, adaptive template updating is guided by an occlusion matrix, a reliable global centroid transfer vector is obtained by making use of effective colors and motion information of blocks, and finally, continuous, stable and fast multi-target tracking in complex scenes is realized. The multi-target tracking method integrating obvious characteristics and block division templates is applied to fields like intelligent video surveillance, in-air multi-target tracking and attacking, and multi-task tracking intelligent robots.

Description

technical field [0001] The invention relates to a multi-target tracking method that combines salient features and block templates, belongs to the fields of intelligent video information processing and computer vision, and is mainly used in intelligent video monitoring systems. Background technique [0002] Vision-based multi-target tracking is an important research topic in the field of computer vision, and it has been widely used in ground traffic control, industrial robot hand-eye system, aerial over-the-horizon multi-target tracking and attack, port surveillance, etc. In recent years, for the measurement-tracking allocation problem, the multi-target tracking research based on the appearance model has gradually become a hot spot. [0003] Since the multi-target tracking method was reported, there have been continuous patent reports on improved tracking methods at home and abroad. However, due to the influence of occlusion in complex scenes, similar feature target (or scene...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/20
Inventor 路红李宏胜吴刚程勇樊华杨萍
Owner 南京雷斯克电子信息科技有限公司
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