Multi-camera tracking shooting system and method based on zigbee wireless sensor network

Abstract

The invention discloses a multi-camera tracking and shooting system and method based on a ZigBee wireless sensor network. The system uses indoor positioning technology to obtain the current position of the target to be tracked, uses an electronic compass to obtain the current pointing of each camera, and then calculates the position of each cloud platform. Rotate the angle and direction of rotation, and control the rotation of the pan / tilt, so that the cameras on each pan / tilt can track and shoot the target, and realize continuous multi-camera through continuous loop positioning, obtaining pointing, calculating the rotation angle and direction, and rotating the pan / tilt. Multi-angle tracking shooting of target objects. It has the advantages of rich shooting angles, not easy to lose the target, and high pointing accuracy.

Description

technical field [0001] The present invention relates to a system and method for real-time tracking and shooting of indoor moving objects by a plurality of cameras, in particular to a system and method for tracking and shooting of cameras based on ZigBee wireless sensor network, which belongs to the intersection of sensor technology embedded development and wireless communication field. Background technique [0002] Object tracking has been an important research direction in academia and industry. For example, biological research requires real-time observation and shooting of a moving living sample (such as a bird in flight, a dog running fast) at the same time from multiple angles and orientations; for example, with the development of photography technology and VR video, It is often necessary to take real-time multi-angle shots of a moving target for post-splicing into panoramic pictures or panoramic videos. [0003] However, the current camera real-time tracking shooting ...

AI Technical Summary

Problems solved by technology

[0004] 1) Traditional target tracking shooting uses a single camera to track and shoot flat pictures, which are inconvenient to splice and process into panoramic pictures in the later stage

[0005] 2) Traditional target tracking uses image recognition algorithms to identify the tracked target based on captured pictures or videos. Due to the obvious differences between the tracked target individuals and the background of the target is constantly changing, the detection and tracking algorithm is limited. Robustness requirements are high, and the calculation is heavy

However, once there are other occluders between the tracked target and the camera, the system will easily lose the target, so there is great unreliability

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