Vision based Vehicle Tracking using a high angle camera
نویسندگان
چکیده
A vehicle tracking and grouping algorithm is presented in this work using Lukas-Kanade Tracking technique. Every frame of the sequence is downsampled to improve efficiency. A section of the highway is marked to establish a detection zone where the detection and tracking of the features take place. For every frame a background subtraction is done and only the foreground pixels inside the detection zone are kept; features will be specified only for these pixels, grouped and tracked until the vehicle leaves the detection zone, we also store the amount of vehicles that had entered the zone. Feature points computed in the downsampled frames are later displayed in the original size images of the sequence.
منابع مشابه
Moving Vehicle Tracking Using Disjoint View Multicameras
Multicamera vehicle tracking is a necessary part of any video-based intelligent transportation system for extracting different traffic parameters such as link travel times and origin/destination counts. In many applications, it is needed to locate traffic cameras disjoint from each other to cover a wide area. This paper presents a method for tracking moving vehicles in such camera networks. The...
متن کاملThe Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking
With the advantage of high mobility, Unmanned Aerial Vehicles (UAVs) are used to fuel numerous important applications in computer vision, delivering more efficiency and convenience than surveillance cameras with fixed camera angle, scale and view. However, very limited UAV datasets are proposed, and they focus only on a specific task such as visual tracking or object detection in relatively con...
متن کاملVision Sensor-Based Driving Algorithm for Indoor Automatic Guided Vehicles
In this paper, we describe a vision sensor-based driving algorithm for indoor automatic guided vehicles (AGVs) that facilitates a path tracking task using two mono cameras for navigation. One camera is mounted on vehicle to observe the environment and to detect markers in front of the vehicle. The other camera is attached so the view is perpendicular to the floor, which compensates for the dist...
متن کاملEfficient Vehicle Tracking and Classification for an Automated Traffic Surveillance System
As digital cameras and powerful computers have become wide spread, the number of applications using vision techniques has increased enormously. One such application that has received significant attention from the computer vision community is traffic surveillance. We propose a new traffic surveillance system that works without prior, explicit camera calibration, and has the ability to perform s...
متن کاملQuadrotor UAV Guidence For Ground Moving Target Tracking
The studies in aerial vehicles modeling and control have been increased rapidly recently. In this paper , a coordination of two types of heterogeneous robots , namely unmanned aerial vehicle (UAV) and unmanned ground vehicle (UGV) is considered. In this paper the UAV plays the role of a virtual leader for the UGVs. The system consists of a vision- based target detection algorithm that uses the ...
متن کامل