Background Subtraction Based on Color and Depth Using Active Sensors
نویسندگان
چکیده
منابع مشابه
Background Subtraction Based on Color and Depth Using Active Sensors
Depth information has been used in computer vision for a wide variety of tasks. Since active range sensors are currently available at low cost, high-quality depth maps can be used as relevant input for many applications. Background subtraction and video segmentation algorithms can be improved by fusing depth and color inputs, which are complementary and allow one to solve many classic color seg...
متن کاملActive surveillance using dynamic background subtraction
A prototype active surveillance system is presented. The system has two cameras, one of which is rigidly xed & has a wide angle lenses while the other is mounted on a pan-tilt head & has a zoomed lenses. The images from the wide angle camera are analyzed using dynamic background subtraction together with normalized cross correlation in order to identify moving people within the scene. An approx...
متن کاملColor Separation for Background Subtraction
Background subtraction is a vital step in many computer vision systems. In background subtraction, one is given two (or more) frames of a video sequence taken with a still camera. Due to the stationarity of the camera, any color change in the scene is mainly due to the presence of moving objects. The goal of background subtraction is to separate the moving objects (also called the foreground) f...
متن کاملGraph-based Visual Saliency Model using Background Color
Visual saliency is a cognitive psychology concept that makes some stimuli of a scene stand out relative to their neighbors and attract our attention. Computing visual saliency is a topic of recent interest. Here, we propose a graph-based method for saliency detection, which contains three stages: pre-processing, initial saliency detection and final saliency detection. The initial saliency map i...
متن کاملBackground Subtraction Using Running Gaussian Average: a Color Channel Comparison
Background subtraction methods are widely used to detect moving objects from static cameras. Many different methods have been proposed, reviewed and categorised based on their complexity, speed, memory requirements and accuracy. The Running Gaussian Average is a simple method offering acceptable accuracy and high frame rate while having low memory requirements. Originally this method was propos...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Sensors
سال: 2013
ISSN: 1424-8220
DOI: 10.3390/s130708895