Video detection performance can change with lighting conditions. For instance, at night, a video camera may in fact be detecting the headlights of a vehicle, and not the vehicle itself. If you were faced with managing the performance of a detection unit exhibiting such characteristics at a very busy intersection (running at capacity), how would you address this problem?
Video detection performance can change with lighting conditions. To address this problem we have to use image binary conversion using an adequate threshold value.
headlights could be used as the
most obvious characteristics of vehicles at night, extract the
headlights as a car for vehicle detection. Separate the two
headlights of a car according to the same relationship between the
headlights to detect the traffic flow. These studies are done in
various research paper.
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