An Efficient Hierarchical Approach for Background Subtraction and Shadow Removal using Adaptive GMM and Color Discrimination
نویسندگان
چکیده
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 removal is used to remove cast shadows and ghosts. Foreground is reconstructed using graph cut based cleaning and non-recursive blob finding. Comparative experimental results demonstrate that proposed approach performs better in comparison to other state-of-the-art algorithms. General Terms Computer Vision, Security, Video Surveillance.
منابع مشابه
Shadow Removal from Videos Using Intensity Based K- Mean Clustering Algorithm
This paper introduces a hybrid approach that is based on color information that utilizes background subtraction technique, a mask and K-Mean clustering algorithm. This hybrid approach efficiently removes artifacts caused by lightening changes such as highlight, reflection, and shadows of moving objects from segmentation. We first create a mask by assigning values to R, G and B channels utilizin...
متن کاملDetecting and counting vehicles using adaptive background subtraction and morphological operators in real time systems
vehicle detection and classification of vehicles play an important role in decision making for the purpose of traffic control and management.this paper presents novel approach of automating detecting and counting vehicles for traffic monitoring through the usage of background subtraction and morphological operators. We present adaptive background subtraction that is compatible with weather and ...
متن کاملAn Adaptive Background Updation and Gradient Based Shadow Removal Method
Moving object segmentation has its own niche as an important topic in computer vision. It has avidly being pursued by researchers. Background subtraction method is generally used for segmenting moving objects. This method may also classify shadows as part of detected moving objects. Therefore, shadow detection and removal is an important step employed after moving object segmentation. However, ...
متن کاملDetection and Tracking of Multiple Moving Objects for Surveillance and Security System
In this paper, detection and tracking of moving object with shadow removal, automated counting and alarm generation was proposed. Improved Gaussian mixture model was used for background subtraction and modeling as it robustly deals with lighting changes, repetitive motions, clutter and slowly moving objects. Shadow detection and removal was performed using improved HSV color space method. Morph...
متن کاملBackground Subtraction in Video Using Recursive Mixture Models, Spatio-Temporal Filtering and Shadow Removal
We describe our approach to segmenting moving objects from the color video data supplied by a nominally stationary camera. There are two main contributions in our work. The first contribution augments Zivkovic and Heijden’s recursively updated Gaussian mixture model approach, with a multidimensional Gaussian kernel spatio-temporal smoothing transform. We show that this improves the segmentation...
متن کامل