Vehicle Detection and Tracking From a Front-Face Camera

In order to detect vehicles — or any other objects — we need to know what differentiates them from the rest of the image captured by the camera. Colors and gradients are good differentiators but the most important features will depend on the appearance of the objects. Color alone as a feature can be problematic. Relying on the distribution of color values (or color histograms) may end up finding matches in unwanted regions of image. Gradients can offer a more robust presentation. Their presence in specific directions around the center could translate into a notion of shape. However a problem with using gradient is that they make the signature too sensitive <a href="https://towardsdatascience.com/vehicle-detection-and-tracking-from-a-front-face-camera-a9b83c842f58">Read More</a>