Local image enhancement-based object tracking method
A target tracking and partial image technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of low robustness, slow tracking speed, complex algorithm, etc., achieve good tracking effect and improve processing speed Effect
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2016-08-31
- Estimated Expiration
- Not applicable · inactive patent
Smart Images
Figure 1 Figure 2 Figure 3
Abstract
Description
technical field
[0001] The invention relates to the technical field of target detection and tracking, in particular to a target tracking method based on local image enhancement. Background technique
[0002] Object detection and tracking technology is one of the hotspots in computer vision research. The main research is how to detect the moving target from the background of the image, and realize accurate target positioning and tracking in the moving scene. Target detection and tracking is a comprehensive technology including object kinematics, artificial intelligence, mathematical analysis, automatic control, etc. Target detection and tracking technology has a very broad application prospect in many civilian and military fields, such as intelligent video surveillance systems, vehicle assisted driving and gesture understanding.
[0003] In many harsh application environments, it may be difficult for the camera to continuously capture good-quality images, resulting in diffi...
Examples
Embodiment
[0057] A target tracking method based on local image enhancement, comprising the following steps:
[0058] Step 1, obtain the first frame, and obtain an image including the tracking target;
[0059] The camera is installed on the gimbal, and the gimbal equipped with the camera controls the rotation of the camera around the azimuth axis (z direction) and the pitch axis (x direction), such as figure 2 As shown, the azimuth and pitch motion of the pan / tilt can make the camera track a moving target in three-dimensional space; in this embodiment, the ball on the image is selected as the experimental target template for target matching, and its pixel size is 62×58;
[0060] Step 2, determine whether there is haze, if so, use the multi-scale Retinex algorithm with color restoration to enhance and restore the image, and then perform step 4; if not, perform step 3;
[0061] Step 3, continue to judge whether there is a weak light situation, if so, use the image histogram equalization ...