Visual saliency model based automatic detecting and tracking method

An automatic detection and salience technology, applied in image data processing, instrumentation, computing, etc., can solve the problems of feature selection, insufficient attitude changes, etc., achieve automatic or semi-automatic tracking, and improve tracking accuracy

Active Publication Date: 2013-05-22
INST OF OPTICS & ELECTRONICS - CHINESE ACAD OF SCI
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Problems solved by technology

It can well solve the problems existing in previous tracking methods, bu

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  • Visual saliency model based automatic detecting and tracking method
  • Visual saliency model based automatic detecting and tracking method
  • Visual saliency model based automatic detecting and tracking method

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Embodiment Construction

[0029] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. This embodiment is carried out on the premise of the technical solution of the present invention, and the detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0030] Figure 1a and Figure 1b It is shown that this embodiment is based on the realization of automatic target tracking and detection, and the input image is a general target video frame sequence. This example provides an automatic or semi-automatic selection of the tracking target using the visual saliency model, which can deal with the tracking loss problem caused by the posture or rotation of the tracking target and has a good improvement on the re-detection algorithm after the tracking failure.

[0031] The steps of the automatic detection and tracking method of the present inventio...

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Abstract

The invention discloses a visual saliency model based automatic detecting and tracking method. The visual saliency model based automatic detecting and tracking method comprises the steps of: calculating a color, brightness and direction saliency graph of an input video image by using a visual saliency model, and defining a simple scene and a complex scene based on the weighted saliency graph; establishing a rectangular frame to serve as a tracking target to be tracked by using a saliency region when the simple scene is detected; correcting a manually selected tracking frame based on different weights when the complex scene is detected; tracking the tracking frame by utilizing a tracking studying and detecting algorithm, and detecting that the tracking is failed; detecting the image of each frame after the failure by using the visual saliency model, performing histogram matching on each region in the saliency graph and the online model before the tracking failure, and tracking a region with the highest similarity; and sending multiple regions with similar similarity into a target detector at the same time for detection, repeating tracking detection for the image target of the next frame, using a histogram comparison step until a target is detected again and tracking.

Description

technical field [0001] The invention belongs to the cross technical field of computer vision and biological vision, and relates to a method for improving and innovating the tracking-learning-detection algorithm by using a visual saliency model, realizing automatic detection and tracking of multiple types of targets in simple scenes and semi-automatic detection and tracking in complex scenes function, and has a good effect on the attitude change of the object and the re-detection process after occlusion. Background technique [0002] In the tracking system, the commonly used tracking methods in the past include: frame difference method, background modeling method, optical flow method, etc. However, when they face complex backgrounds and various types of targets, they often cause drastic changes in target characteristics due to changes in illumination, posture and shape, resulting in tracking failures. When partial occlusion and fast movement occur, part of the feature inform...

Claims

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Application Information

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IPC IPC(8): G06T7/20
Inventor 徐智勇金炫魏宇星
Owner INST OF OPTICS & ELECTRONICS - CHINESE ACAD OF SCI
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