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Spatio-temporal context target tracking method based on human brain memory mechanism

A space-time context and target tracking technology, applied in the field of computer vision, can solve the problems of decreased tracking accuracy and achieve the effects of improving robustness, improving accuracy, and reducing complexity

Active Publication Date: 2018-02-02
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0006] In order to solve the problem of the tracking accuracy decline of the STC method in the process of target tracking such as illumination changes, sudden changes in target attitude, occlusion, reappearance after a short disappearance, etc., the present invention proposes a space-time context target tracking method based on the human brain memory mechanism

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  • Spatio-temporal context target tracking method based on human brain memory mechanism
  • Spatio-temporal context target tracking method based on human brain memory mechanism
  • Spatio-temporal context target tracking method based on human brain memory mechanism

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Embodiment

[0054] This embodiment discloses a target tracking method based on the combination of human brain memory mechanism and space-time context. The overall process is as follows figure 1 As shown, it specifically includes the following steps:

[0055] Step 1: Initialize memory space and tracking window.

[0056] Two layers of memory space are initialized, and each layer is constructed as short-term memory space, short-term memory space and long-term memory space. Wherein, the short-term memory space and the long-term memory space respectively store S templates. The short-term memory space is used to save the current frame target data (estimated template); the first layer of short-term memory space and the first layer of long-term memory space are used to save the feature qt of the target matching template; the second layer of short-term memory space and the second The layered long-term memory space is used to hold the spatio-temporal context model.

[0057] Input the first frame...

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Abstract

The invention discloses a spatio-temporal context target tracking method based on a human brain memory mechanism. The method introduces a visual information processing cognitive model of the human brain memory mechanism to the update process of a space-time relation model of the STC method, so that each template is allowed to be subjected to transmission and processing of transient memory, short-term memory and long-term memory spaces, and memory-based model update strategies are formed; by memorizing previous scenes, the method can still keep continuous robust tracking when problems of illumination variation, attitude abrupt change, shielding and reappearing after brief disappearance of a current target occur; besides, when a confidence map is calculated according to spatio-temporal context information, the method sets N target center location candidate points and selects a target center location, the similarity between which and a target template is maximum, as a final tracking result, thereby reducing errors caused by the confidence map, and improving tracking precision; and finally, a high-precision and strong-robustness moving target tracking method is formed.

Description

technical field [0001] The invention relates to a method for tracking a moving target in a video image, in particular to a method for tracking a target in a spatio-temporal context (STC, Spatio-Temporal Context) based on a human brain memory mechanism, and belongs to the technical field of computer vision. Background technique [0002] As an important research direction in the field of computer vision, object tracking has broad application prospects in the fields of video surveillance, human-computer interaction, and intelligent transportation. [0003] According to different target appearance modeling, typical target tracking methods can be divided into: generative target tracking methods and discriminative target tracking methods. Among them, the generative target tracking method learns a target model through features, and then searches for the area closest to the target model to achieve target tracking. Discriminative tracking methods frame tracking as a binary classific...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/246G06T7/262G06T7/277
CPCG06T2207/10016G06T2207/20076G06T7/248G06T7/262G06T7/277
Inventor 宋勇李旭赵尚男赵宇飞李云陈学文
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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