Object tracking method and system based on depth characteristic flow, terminal and medium

A deep feature, target tracking technology, applied in image data processing, image enhancement, instruments, etc., to achieve the effect of fast processing speed and speed improvement

Active Publication Date: 2018-07-03
北京纵目安驰智能科技有限公司
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  • Description
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Problems solved by technology

Second, the optical flow estimation uses the bilinear interpolation method to propagate the feature map of the key frame to the corresponding position of the current frame. In this way, after a key frame and the feature map obtained by two frames are given, t

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  • Object tracking method and system based on depth characteristic flow, terminal and medium
  • Object tracking method and system based on depth characteristic flow, terminal and medium
  • Object tracking method and system based on depth characteristic flow, terminal and medium

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Embodiment Construction

[0050] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

[0051] It should be noted that the structures, proportions, sizes, etc. shown in the drawings attached to this specification are only used to match the content disclosed in the specification, for those who are familiar with this technology to understand and read, and are not used to limit the i...

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Abstract

The invention provides an object tracking method and system based on a depth characteristic flow, a terminal and a medium; the method comprises the following steps: using a visual sensor to capture acontinuous video frame sequence, and obtaining the current frame image from the video frame sequence; detecting a mobile object, determining at least one key frame containing the mobile object, building a mapping relation between the current frame image and corresponding characteristics in the key frame image, and obtaining an optical flow estimated vector graph; respectively filtering static objects in the key frame image so as to obtain a motion characteristic extraction network related to the mobile object, and extracting a characteristic graph; propagating the key frame mobile object characteristics onto the current frame. The method employs the depth characteristic flow to process images, is fast in speed, cannot affect video segmentation and task identification, and can use an end-to-end mode to map, thus improving precision.

Description

technical field [0001] The present invention relates to the technical field of vehicle electronics, in particular to a method, system, terminal and medium for object tracking based on depth feature flow. Background technique [0002] ADAS is the advanced driver assistance system, also known as the active safety system, mainly including the electronic stability system ESC, the adaptive cruise system ACC, the lane departure warning system LDW, the lane keeping system LKA, the forward collision warning system FCW, the door opening warning DOW, the automatic Emergency braking system AEB, traffic sign recognition TSR, blind spot detection BSD, night vision system NV, automatic parking system APS, etc. [0003] The ADAS active safety system must not only recognize static objects, but also recognize dynamic objects. At present, the deep convolutional neural network has achieved great success in image recognition tasks. However, it is a very complicated task to convert the image re...

Claims

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Application Information

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IPC IPC(8): G06T7/246G06N3/04
CPCG06T7/246G06T2207/10016G06T2207/20084G06N3/045Y02D10/00
Inventor 吴子章王凡唐锐
Owner 北京纵目安驰智能科技有限公司
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