Target tracking method and device

Abstract

The invention provides a target tracking method and an apparatus thereof. The method comprises the following steps of sampling a current frame image to acquire several first sample areas which are close to an initial target area and several second sample areas which are far away from the initial target area, and using a same preset mode to acquire N pairs of image blocks; according to an image difference of any one pair of image blocks, calculating a characteristic value corresponding to the pair of the image block so as to form a N-dimensional characteristic vector; carrying out statistics on the N-dimensional characteristic vector in ranges of all the first sample areas and all the second sample areas respectively so as to acquire two histograms corresponding to each dimension in the N-dimensional characteristic vector; and from now on, in any one frame of image, using the same mode to acquire the N-dimensional characteristic vector corresponding to any one candidate target sample area, and through comparing the N-dimensional characteristic vector and all the histograms, acquiring a matching degree of the candidate target sample area and a target area to be detected. By using an existing method, a condition that a low complexity algorithm is used to realize target tracking is difficult to achieve. By using the method and the apparatus of the invention, the above problem is solved.

Description

technical field [0001] The invention relates to computer technology, in particular to a target tracking method and device. Background technique [0002] With the rapid popularity and development of mobile terminals such as smartphones, the demand for applications such as augmented reality is gradually increasing. As an essential part of applications such as augmented reality, the target tracking process needs to provide real-time and accurate target tracking results, so that augmented reality can accurately and real-time superimpose virtual augmented information on the real scene. Applications including augmented reality require target tracking to meet real-time and accurate requirements, and also require target tracking to be able to effectively adapt to changes in image illumination, scale, and rotation. [0003] Feature tracking methods based on computer vision include tracking methods based on local feature matching, tracking methods based on global features, and tracki...

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