Paper Title
Robust Vehicle Detection and Tracking

Intelligent video surveillance system has emerged as a very important research topic in the computer vision field in the recent years. Object classification in the field of video surveillance is a key component of smart surveillance software. The robust methodology is adopted for people and vehicle classification for automated surveillance systems is proposed. This work uses background subtraction model for detecting the moving objects and the object segmentation is done by the morphological operations. The SIFT features extracted from the segmented objects and classification is done with the Deep Learning Neural Network (DNN). Keywords - Moving Object Detection, SIFT, DNN