Target tracking method based on multi-feature self-adaption fusion and on-line study

A target tracking and self-adaptive technology, applied in the field of target tracking, can solve the problem that the target tracking method cannot adapt to the change of the target shape, and achieve the effect of enhancing adaptability, improving accuracy and robustness, and overcoming singleness

CN103198493AInactive Publication Date: 2013-07-10TIANJIN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2013-07-10
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a target tracking method based on multi-feature self-adaption fusion and on-line study. Target features are extracted and used as template features; three types of features are extracted from each of novel candidate target regions; a self-adaption fusion process is carried out according to distinctiveness and correlation of all the features; Bhattacharyya distances between the features obtained after fusion and the template features are calculated; the Bhattacharyya distances are subjected to uniformization and then used as weights of the novel candidate target regions; the novel candidate target region with the maximum weight, and a target region are subjected to an overlap judgment, if the overlap rate is less than an overlap rate threshold value, a multiple-time region of the novel candidate target region with the maximum weight is input to a detector, and when a recognizer outputs 'yes', the fact that target tracking succeeds is shown, and the recognizer, the template features and the target region are updated; if the recognizer outputs 'no', the fact that a novel target is found is shown; and if the overlap rate is greater than or equal to the overlap rate threshold value, the recognizer, the template features and the target region are updated. Through the target tracking method based on the multi-feature self-adaption fusion and the on-line study, the adaption ability of the target tracking under different scenarios and certain deformation conditions is enhanced, and the problem that tracking drifting is prone to occurrence after occlusion is avoided.
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Description

technical field

[0001] The invention relates to the field of target tracking, in particular to a target tracking method based on multi-feature adaptive fusion and online learning. Background technique

[0002] Video object tracking refers to the process of object detection, representation and trajectory extraction in video sequences. Video object tracking has practical application requirements in video surveillance, event analysis, human-computer interaction and other fields.

[0003] At present, the world's most advanced surveillance systems cannot perfectly handle dynamic tracking tasks in complex scenes, such as: deformation, occlusion, lighting changes, shadows or tracking in crowded environments. Object tracking remains a challenge, especially when objects are partially occluded and deformed.

[0004] Single-feature-based tracking methods usually initialize the target region, extract arbitrary target features, such as: color features, and search and match them in the ...

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Embodiment Construction

[0047] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0048] In order to avoid the problem of tracking drift and adapt to the change of target shape, the embodiment of the present invention provides a target tracking method based on multi-feature adaptive fusion and online learning. Online learning can overcome target deformation and The problems caused by tracking drift have better achieved the expected tracking effect, see figure 1 , see the description below:

[0049] 101: Take a frame of any video sequence as input, select a target area from a frame of image, extract target features and use them as template features;

[0050] Wherein, the operation of selecting the target area is well known to those skilled in the art, and the target area is a rectangular area, for example: according...