Object tracking system implementation method based on Cortex system multi-core processor

Abstract

The invention relates to an object tracking system implementation method based on a Cortex system multi-core processor. The method includes the following steps: acquiring a video; programming to implement a target tracking algorithm based on SURF registration and KALMAN prediction; performing program porting cross operation systems; establishing an embedded system basic platform which is implemented by the target tracking algorithm; implementing cross-hardware porting of a PC terminal with the target tracking algorithm; and realizing the cooperative work between the ARM core and a DSP core inside a panda board. According to the invention, the system herein operates the target tracking algorithm on independent single-board device, which eliminates the reliance on the PC terminal of traditional image algorithm, realizes embedded image processing, makes the algorithm more flexible and expandable, and provides a much easier and more flexible interface for the follow up unmanned aerial plane tracking platform; and in a more complex moving background, can real-time and accurately tracking a moving object.

Description

technical field [0001] The invention belongs to the technical field of target tracking, and in particular relates to a method for realizing a target tracking system based on a Cortex series multi-core processor. Background technique [0002] Video target tracking is a cutting-edge research topic in the field of computer vision today, and it is widely used in many fields such as intelligent transportation, security monitoring, military applications, and human-computer interaction. Therefore, the realization of embedded video image processing system will also become the focus of researchers, which has important academic significance and practical value. [0003] In terms of moving object tracking, the existing tracking methods are mainly divided into five categories: area tracking, edge tracking, feature tracking, model tracking, and hybrid tracking. Classical algorithms mainly include optical flow method, mean shift, particle filter, feature point tracking, etc. The optical...

AI Technical Summary

Problems solved by technology

The embedded operating platform based on the FPGA soft core has unique parallel execution capabilities, but the realization of its parallel interface is still a big technical problem; researchers have not been able to solve the problem of quickly converting serial algorithms into parallel algorithms, especially When some algorithms must be executed according to the serial process, the shortcomings are more prominent; in addition, the soft core itself in the embedded operating platform based on the FPGA soft core has a technical shortcoming of slow execution speed, which is another drawback of this method.

DSP-based hardware implementation has certain shortcomings in system management and external interface processing: the high-speed DSP has a complex structure and multiple independent operating buses, it is difficult to increase the system frequency, and cannot take into account the operation of the entire system peripherals management, so that DSP has certain defects in system integration management

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