Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).

Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering

Real-time multi-camera multi-object tracker using YOLO varients