Shadow Detection in Videos Acquired by Stationary and Moving Cameras
نویسندگان
چکیده
Title of Thesis: SHADOW DETECTION IN VIDEOS ACQUIRED BY STATIONARY AND MOVING CAMERAS Antonio Trias, Master of Science, 2005 Thesis directed by: Professor Rama Chellappa Department of Electrical and Computer Engineering Shadow Detection has become a key issue in object detection, tracking and recognition problems. Object appearances might be completely changed by the effects of shading and shadows. Finding good algorithms for shadow detection and reducing shading effects in order to segment objects from video sequences, will enhance the performance of our detection, tracking and recognition algorithms. In this thesis, we present data, physics and model-driven approaches for detecting shadows and correcting shading effects. The effectiveness of these algorithms in video sequences acquired by stationary surveillance cameras and airborne platforms is illustrated. SHADOW DETECTION IN VIDEOS ACQUIRED BY STATIONARY AND MOVING CAMERAS
منابع مشابه
Robust moving object detection based on ViBe with adaptive shadow detector
We propose the SAViBe+ algorithm, a new approach for moving object detection based on ViBe background subtraction algorithm with an adaptive shadow detector. Because ViBe cannot handle scenes containing gradual illumination variations, and eliminate shadows cast by moving objects, an adaptive shadow detector is designed to detect and eliminate the shadow of a moving object, adapting to variatio...
متن کاملAn Obstacle Detection Scheme for Vehicles in an Intelligent Transportation System
Road obstacles cause serious accidents that have a severe impact on driver safety, traffic flow efficiency and damage of the vehicle. Detecting obstacles are important to prevent or to reduce such kind of the accidents and fatalities. However, it is difficult and becomes tricky because of some problems like presence of shadow, environmental changes or a sudden action of any moving things (e.g.,...
متن کاملAn Efficient Hierarchical Approach for Background Subtraction and Shadow Removal using Adaptive GMM and Color Discrimination
This paper presents an efficient approach for moving objects detection and shadow removal from color videos obtained using stationary camera. A background subtraction technique based on modified adaptive GMM has been proposed for detecting moving objects. Speed-up techniques have also been applied to enhance the computational efficiency of the algorithm. Then, a robust algorithm for shadow remo...
متن کاملOptical Flow Based Moving Object Detection and Tracking for Traffic Surveillance
Automated motion detection and tracking is a challenging task in traffic surveillance. In this paper, a system is developed to gather useful information from stationary cameras for detecting moving objects in digital videos. The moving detection and tracking system is developed based on optical flow estimation together with application and combination of various relevant computer vision and ima...
متن کاملBackground Subtraction Using Low Rank and Group Sparsity Constraints
Background subtraction has been widely investigated in recent years. Most previous work has focused on stationary cameras. Recently, moving cameras have also been studied since videos from mobile devices have increased significantly. In this paper, we propose a unified and robust framework to effectively handle diverse types of videos, e.g., videos from stationary or moving cameras. Our model i...
متن کامل