27-04-2017, 11:06 AM
Please send me the maltab code for speed detection
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matlab code for speed detection
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Please send me the maltab code for speed detection
28-04-2017, 10:58 AM
The vehicle speed detection system using the image processing technique. General work is software development of a system that requires a video scene, consisting of the following components: vehicle in motion, initial reference point and final reference point. The system is designed to detect the position of the moving vehicle in the scene and the position of the reference points and calculate the speed of each frame of static image from the detected positions.
The detection of vehicle speed from a video frame system consists of six main components:
1) Acquisition of images, to collect a series of individual images of the video scene and store them in the temporary storage.
2) Image Enhancement, to enhance some unique image features in order to provide more accuracy and better future performance.
3) Image segmentation, to perform vehicle position detection by image differentiation.
4) Image analysis, to analyze the position of the initial reference point and the reference end point, using a threshold technique.
5) Speed detection, to calculate the speed of each vehicle in the frame of a single image using the position of the detection vehicle and the positions of the reference point, and
6) Report, to transmit information to the end user as readable information.
The experimentation has been carried out in order to evaluate three qualities:
1) Usability, to prove that the system can determine the speed of the vehicle in the specific conditions established.
2) Performance, and
3) Effectiveness.
The results show that the system works with the highest performance at 320 × 240 resolution. It takes about 70 seconds to detect a moving vehicle in a video scene.
The detection of vehicle speed from a video frame system consists of six main components:
1) Acquisition of images, to collect a series of individual images of the video scene and store them in the temporary storage.
2) Image Enhancement, to enhance some unique image features in order to provide more accuracy and better future performance.
3) Image segmentation, to perform vehicle position detection by image differentiation.
4) Image analysis, to analyze the position of the initial reference point and the reference end point, using a threshold technique.
5) Speed detection, to calculate the speed of each vehicle in the frame of a single image using the position of the detection vehicle and the positions of the reference point, and
6) Report, to transmit information to the end user as readable information.
The experimentation has been carried out in order to evaluate three qualities:
1) Usability, to prove that the system can determine the speed of the vehicle in the specific conditions established.
2) Performance, and
3) Effectiveness.
The results show that the system works with the highest performance at 320 × 240 resolution. It takes about 70 seconds to detect a moving vehicle in a video scene.
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