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This paper describes the comparison of accuracy and performance of two machine learning approaches for visual object detection and tracking vehicles, from an on-road image sequence. The first is a neural network based approach. where an algorithm of multi resolution technique based on Haar basis functions was used to obtain an image with different scales. Thereafter a classification was carried out...
Neurons are considered as main computational units of the human brain, are working together with millions of synapses to convey information. The processes of information decoding and neuronspsila communication mechanisms are still in a debate. Apart from the numerous researches into those areas, significant attention has given to the synaptic plasticity, which is suspected to have direct relationship...
This paper describes the procedure for detection and tracking of a vehicle from an on-road image sequence taken by a monocular video capturing device in real time. The main objective of such a visual tracking system is to closely follow objects in each frame of a video stream, such that the object position as well as other geometric information are always known. In the tracking system described, the...
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