|
|
| |
| Computer Vision Based Human Detection |
Rahman, Ashikur, Human Detection, Edge detection
|
Abstract:
From still images human detection is challenging and important task for computer vision-based researchers. By detecting Human intelligence vehicles can control itself or can inform the driver using some alarming techniques. Human detection is one of the most important parts in image processing. A computer system is trained by various images and after making comparison with the input image and the database previously stored a machine can identify the human to be tested. This paper describes an approach to detect different shape of human using image processing. This thesis mainly based on shape based detection. Shape of the input image is extracted using a operator namely cany operator. Different images are used to train up the system. Then after training the system with the input image when a test image is provided to detect, test image is then compared with the database. If a certain threshold value is found then the test image is considered as the specific human. The average accuracy and precision rate achieved by the system is above 93%.
|
|
|
| | |