A target tracking method based on target and camera motion modeling

A technology of target tracking and camera movement, applied in the field of computer vision, can solve problems such as poor motion characteristics, irregular motion, no longer real and reliable motion information tracking effect, etc., and achieve the effect of improving accuracy and robustness

Active Publication Date: 2019-03-01
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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AI Technical Summary

Problems solved by technology

The few methods that use motion features are also due to the fact that motion features perform poorly in many cases
[0004] The reason is that after the target is imaged by the camera, due to perspective and other reasons, the constraints on the target movement in the real scene may be greatly damaged. What is more serious is that the target tracking scene is not only used for camera fixation. Motionless scenes are also wid

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  • A target tracking method based on target and camera motion modeling
  • A target tracking method based on target and camera motion modeling
  • A target tracking method based on target and camera motion modeling

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Embodiment Construction

[0030] The present invention will be further described below with reference to the accompanying drawings and in combination with preferred embodiments.

[0031] The most fundamental reason for the failure of the motion feature is the simultaneous motion of the target and the camera. In the prior art, the fact that the two are moving simultaneously is usually ignored, and the motion of the target on the image plane is regarded as the motion of the target. Based on this, the present invention proposes a visual target tracking method based on simultaneous modeling of target and camera motion. Using the target tracking method of the present invention, the motion of the target and the camera can be modeled simultaneously. The modeling method conforms to the actual situation, and the two motions Both are real motions in the physical world, conform to the constraints of the physical world, and can provide a large amount of prior knowledge for target tracking to improve the accuracy an...

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Abstract

The invention discloses a target tracking method based on target and camera motion modeling. The target tracking method comprises the following steps: S1, predicting the real speed of a target at thecurrent moment through a filter algorithm; S2, predicting the speed of the camera at the current moment; S3, synthesizing the real speed of the target predicted in the step S1 and the speed of the camera predicted in the step S2 to obtain a predicted value of the resultant velocity of the target in the pixel plane at the current moment, and selecting a target search area according to the predictedvalue of the resultant velocity of the target in the pixel plane; and S4, carrying out a target tracking algorithm in the target search area selected in the step S3, and obtaining the position of thetarget in the pixel plane at the current moment. According to the target tracking method based on target and camera motion modeling provided by the invention, the accuracy and robustness of target tracking are effectively improved.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to an object tracking method based on object and camera motion modeling. Background technique [0002] Video analysis has a wide range of application scenarios in real life. The main steps of video analysis include object detection, object tracking, and behavior analysis. Target detection is to find the target we are interested in, and target tracking can maintain continuous tracking of the target and evaluate the state information of the target in each video frame. Behavior analysis is based on the continuous tracking information of the target state, discovering the target behavior characteristics, and Provide a basis for possible decisions. From the analysis, it can be found that object tracking plays an extremely important role in video analysis and has a strong practical demand. [0003] Visual target tracking can be divided into preprocessing, feature extraction, target state ...

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Application Information

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IPC IPC(8): G06T7/277
CPCG06T7/277G06T2207/20068
Inventor 杨余久胡晓翔
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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