LED (Light Emitting Diode) lamp tracking method and system under complex scene based on Kalman filtering
A Kalman filter and Kalman filter technology, applied in the fields of visible light communication and LED lamp tracking, can solve the problems of large noise interference, indistinguishability, and deviation of LED lamps, and achieve the goal of improving imaging quality, tracking accuracy and tracking speed. Effect
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Embodiment 1
[0054] as attached figure 1 As shown, this embodiment discloses a Kalman filter-based LED light tracking system in a complex scene. The LED light tracking system is used for identifying the position of the LED light, predicting the position of the LED light, and optimizing the position of the LED light.
[0055] as attached figure 2 As shown, the single-chip microcomputer sends pulse sequences of different frequencies to control the LED lamp driving circuit, so that the LED lamp changes from "on" to "off" at different frequencies, so that different LEDs on the LED image captured by the COMS camera have different stripes feature.
[0056] as attached image 3 As shown, each frame of LED image captured by the CMOS camera contains 4 LED lights, after being processed by the image processing system, the obtained Figure 4 The binarized LED image shown, using this binarized LED image, you can get the position Z of different LEDs K . Realize the Kalman filter through DSP, for t...
Embodiment 2
[0067] Such as figure 1 , a Kalman filter-based LED light tracking system in complex scenes, including: an LED light emission frequency control subsystem, a robot camera subsystem, an image processing subsystem, and a Kalman filter subsystem.
[0068] Among them, the LED light emitting frequency control subsystem sends pulse sequences of different frequencies through the programmable single-chip microcomputer to control the LED light driving circuit, and then drives the LED light to flash. The pulse sequences of 50Hz, 100Hz, 200Hz, and 400Hz are used here, such as figure 2 shown.
[0069] Among them, the robot camera subsystem is connected in turn by the CMOS camera installed on the top of the robot, the CMOS camera parameter setting module, the robot host computer, and the WIFI module. The image processing subsystem remotely controls the CMOS camera parameter setting module to set the focal length, exposure time, exposure compensation, and sensitivity of the CMOS camera, so...
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