Universal video tracker and data stream processing method

Abstract

The invention provides a universal video tracker and a data stream processing method, and the method comprises the steps: receiving a digital component serial interface SDI video input through GS2971,receiving an analog video data input through ADV7280, receiving a digital video parallel interface video input through THC63LVDF, and carrying out the video data decoding; an FPGA encodes the video data, receives external control data and sends the external control data to a video tracking unit and a video receiving unit; the video tracking unit calculates a video tracking result, encodes and frames the video data and the tracking result, and feeds back the encoded and framed video data and tracking result to the FPGA; the FPGA decodes the coded and framed data and outputs the decoded data tothe video receiving unit; and the video receiving unit processes the multiple paths of input video data to form a video stream, superposes the video data sent by the FPGA and the tracking result in the video stream to form a video data stream to be displayed finally and sends the video data stream to the outside. The method can be applied to target tracking of different video data types, the tracking accuracy is improved through information superposition, and the tracking delay is reduced.

Description

technical field [0001] The invention relates to the technical field of intelligent equipment and target tracking, in particular to a general-purpose video tracker and a data stream processing method. Background technique [0002] Video tracking is mainly used in scenarios such as object tracking. Due to different video data formats, the transmission characteristics are also inconsistent, so it is necessary for the video tracker or device to be able to receive multiple transmission characteristics and multiple video formats, and at the same time internally encode multiple video inputs and send them to other internal circuit board. [0003] The current video tracker or device should be improved in at least the following aspects: [0004] 1. The video characteristics output by video cameras on the market are inconsistent. Some use SDI interface, some use LVDS interface, and some use analog video interface. Secondly, the output video format and image resolution are also differ...

AI Technical Summary

Problems solved by technology

[0004] 1. The video characteristics output by video cameras on the market are inconsistent. Some use SDI interface, some use LVDS interface, and some use analog video interface. Secondly, the output video format and image resolution are also different. Here In the case of high complexity input video data, the current video tracker cannot be well adapted, and the versatility is flawed;

[0005] 2. In the actual use environment, the output data of the tracker is the tracking result, and the tracking result needs to be given within a reasonable time range to ensure the effectiveness of the tracking environment. Therefore, according to different use environments, the tracking delay is proposed Very high requirements, the real-time performance of existing trackers needs to be improved;

[0006] 3. The output video needs to be improved in terms of visualization and accuracy

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