Target tracking device and method, and computer readable storage medium

Abstract

The invention discloses a target tracking device based on a convolutional neural network. The device comprises a memory and processor. A target tracking program which can be operated on the processoris stored in the memory. The program is executed by the processor. And an execution process comprises the following steps of according to sampling point distribution, collecting a picture sample froma video frame image and recording a position coordinate of the picture sample; based on a CNN model, extracting a sample characteristic from the picture sample, and according to the sample characteristic, calculating a confidence coefficient of the picture sample and a tracking target; according to the confidence coefficient, adjusting a weight of the picture sample, and according to the positioncoordinate and the weight, calculating a position coordinate of the tracking target; according to the position coordinate, collecting a positive sample and a negative sample from the video frame imageso as to train the sample set and train the CNN model, and then updating a model parameter of the CNN model; and repeating the above steps till that tracking of a video is completed. The invention also provides a target tracking method based on the convolutional neural network and a computer readable storage medium. In the invention, accuracy of target tracking is increased.

Description

technical field [0001] The present invention relates to the technical field of image recognition, in particular to a convolutional neural network-based target tracking device, method and computer-readable storage medium. Background technique [0002] Computer object tracking is an important part of practical applications such as video surveillance. Object tracking refers to the accurate positioning and tracking of moving objects (such as pedestrians, vehicles, etc.) in the video, and the estimation of the trajectory of the object. As an important topic in the field of computer vision, object tracking is of great value in video surveillance, object recognition, and video information discovery. [0003] With the proposal of a large number of target tracking algorithms, target tracking technology has been developed rapidly, but in actual tracking, there are many practical difficulties in the target tracking task, such as object occlusion, viewing angle changes, target deformati...

AI Technical Summary

Problems solved by technology

[0003] With the proposal of a large number of target tracking algorithms, target tracking technology has been developed rapidly, but in actual tracking, there are many practical difficulties in the target tracking task, such as object occlusion, viewing angle changes, target deformation, surrounding illumination changes and unpredictable However, most of the existing target tracking algorithms use the difference between the target and the background to construct a classification model, separate the target from the background, and track the target. Changes in the detected target and background, such as the target being partially occluded, or similar background interference, etc., resulting in wrong tracking of the target, resulting in low target tracking accuracy

Images