Target tracking method under complicated background based on extreme learning machine

An extreme learning machine and target tracking technology, which is applied in the field of target tracking under the complex background based on extreme learning machines, can solve problems such as difficult time system applications, and achieve the effects of improving tracking accuracy, improving tracking speed, and good classification performance

Active Publication Date: 2015-10-21
STATE GRID CORP OF CHINA +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this type of method needs to save a large amount of previous m

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  • Target tracking method under complicated background based on extreme learning machine
  • Target tracking method under complicated background based on extreme learning machine
  • Target tracking method under complicated background based on extreme learning machine

Examples

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Example Embodiment

[0036] The present invention will be further described below in conjunction with the drawings and embodiments.

[0037] This embodiment provides a target tracking method in a complex background based on an extreme learning machine, such as figure 1 As shown, it is characterized by including the following steps:

[0038] Step S1: Perform target positioning: frame the target to be tracked in the first frame of the video or track the target detected by the previous target detection algorithm;

[0039] Step S2: Provide a detection module, a tracking module, and a comprehensive module. The detection module and the tracking module can operate independently at the same time to detect and track the target that needs to be tracked;

[0040] Step S3: Module initialization: according to the target that needs to be tracked in the step S1, the detector set in the detection module and the tracker set in the tracking module are initialized;

[0041] Step S4: Input of the next frame of image: According...

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Abstract

The invention relates to a target tracking method under complicated background based on an extreme learning machine. The method comprises the following steps: a detection module, a tracking module and an integration module are provided, wherein the detection module and the tracking module can operate independently and simultaneously and are used for carrying out detection and tracking on a target needing tracking; a detector in the detection module carries out multi-scale detection on a tracking target in the previous frame and outputting a result; a tracker in the tracking module carries out tracking on the tracking target in the previous frame and outputting a tracking result; the integration module receives the results output by the detection module and the tracking module in the step S5 and carries out comprehensive analysis on the results, and takes the result, of which the confidence degree is the highest, as the tracking target of the current frame and outputting the result; and repeating the steps above until the final video frame is finished. The detection module and the tracking module can operate independently and simultaneously, and the integration module integrates the results of the two modules, so that tracking precision and robustness can be improved effectively.

Description

technical field [0001] The invention relates to the field of target tracking in complex environments, in particular to an extreme learning machine-based target tracking method in complex backgrounds. Background technique [0002] Target tracking refers to the continuous tracking and positioning of the specified target in the video. Specifically, the target to be tracked is framed at the beginning frame of the video (or the target to be tracked is obtained through a detection algorithm) and relevant information about the position of the tracked target is extracted, and then the position of the target is automatically identified and tracked in subsequent frames until the video Finish. Target tracking has great practical significance, especially the target tracking technology in complex backgrounds. Nowadays, target tracking technology is more and more widely used in electric field environment, military visual guidance, safety detection, traffic management, security of importa...

Claims

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Application Information

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IPC IPC(8): G06T7/20
CPCG06T2207/10016G06T2207/20081
Inventor 蔡宇翔李霆付婷肖琦敏倪少龙曾伟波吕君玉
Owner STATE GRID CORP OF CHINA
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