Abstract: Vehicles are rigid/multi-dimensional objects capable of moving through space which do not undergo structural deformation. Existing systems/techniques analyse videos (e.g., traffic videos) for tracking moving objects either manually or through crowd sourcing and thus are less accurate due to different variations (e.g., non-linear scaling, visibility, occlusion, etc.) caused due to perspective. Present disclosure enable real-time video analytics wherein background from images in de-noised motion streams is filtered to obtain moving objects of interest. Motion map is generated to identify moving objects along-with depth information.