Image Processing Based Method for Vehicle Detection and Distance Estimation


Chee, Yew Tung (2016) Image Processing Based Method for Vehicle Detection and Distance Estimation. Masters thesis, Multimedia University.

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A lot of scientific investigations have been carried out in the field of computer vision in the present time. Scientific investigations being carried out in the field includes the study of developing an effective vehicle detection algorithm as well. The vehicle detection algorithm developed in this research is able to detect the target vehicle on the road or the highway accurately. The proposed method to develop the vehicle detection algorithm is through the use of a cascade vehicle detector. The cascade vehicle detector is trained to detect the object of interest. The training process involves the use of a large number of positive and negative sample images. Positive sample images contain the object of interest, while negative ones contain none of the object of interest. The object of interest in the research is the rear view of the target vehicle. The rate of detection of the vehicle detection algorithm being developed in this research also yields a very high accuracy of 93.52%.

Item Type: Thesis (Masters)
Additional Information: Call No.: TA165 .C44 2016
Uncontrolled Keywords: Detectors
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters, etc. Industrial instrumentation
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 07 Sep 2017 10:51
Last Modified: 07 Sep 2017 10:51


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