Background image ≈ Background image
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Deep background subtraction with scene-specific convolutional neural networks Open
peer reviewed
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A New Moving Object Detection Method Based on Frame-difference and Background Subtraction Open
Although many methods of moving object detection have been proposed, moving object extraction is still the core in video surveillance. However, with the complex scene in real world, false detection, missed detection and deficiencies result…
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A Background Subtraction Algorithm in Complex Environments Based on Category Entropy Analysis Open
Background subtraction is a mainstream algorithm for moving object detection in video surveillance systems. It segments moving objects by using the difference between the background and input images. The key to background subtraction is to…
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Moving Object Detection for Dynamic Background Scenes Based on Spatiotemporal Model Open
Moving object detection in video streams is the first step of many computer vision applications. Background modeling and subtraction for moving detection is the most common technique for detecting, while how to detect moving objects correc…
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Human Detection Based on the Generation of a Background Image and Fuzzy System by Using a Thermal Camera Open
Recently, human detection has been used in various applications. Although visible light cameras are usually employed for this purpose, human detection based on visible light cameras has limitations due to darkness, shadows, sunlight, etc. …
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Foreground Objects Detection Using a Fully Convolutional Network With a Background Model Image and Multiple Original Images Open
Visual surveillance aims to reliably extract foreground objects. Traditional algorithms usually use a background model image which is generated through the probabilistic modeling of changes over time and space. They detect foreground objec…
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Face X-ray for More General Face Forgery Detection Open
In this paper we propose a novel image representation called face X-ray for detecting forgery in face images. The face X-ray of an input face image is a greyscale image that reveals whether the input image can be decomposed into the blendi…
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An Approach for Unattended Object Detection through Contour Formation using Background Subtraction Open
Any unattended object in public places is generally considered as a suspicious object. Identification of such objects in public places is one of challenging tasks in computer vision. Robust object detection system with prompt and accurate …
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ANIMAL DETECTION USING A SERIES OF IMAGES UNDER COMPLEX SHOOTING CONDITIONS Open
Camera traps providing enormous number of images during a season help to observe remotely animals in the wild. However, analysis of such image collection manually is impossible. In this research, we develop a method for automatic animal de…
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Moving Object Detection Algorithm based on Improved Visual Background Extractor Open
Aiming at the problems that the ViBe algorithm causes error detection when the camera jitter, ghosts appear when processing moving targets, and the detected moving targets are incomplete, an improved ViBe algorithm based on motion compensa…
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Effects of Background Colors, Flashes, and Exposure Values on the Accuracy of a Smartphone-Based Pill Recognition System Using a Deep Convolutional Neural Network: Deep Learning and Experimental Approach Open
Background Pill image recognition systems are difficult to develop due to differences in pill color, which are influenced by external factors such as the illumination from and the presence of a flash. Objective In this study, the differenc…
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A video surveillance system designed to detect multiple falls Open
This work presents a fall detection system that is based on image processing technology. The system can detect falling by various humans via analysis of video frame. First, the system utilizes the method of mixture and Gaussian background …
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Automatic detection for the world's rarest primates based on a tropical rainforest environment Open
Hainan gibbons are the most endangered primates in the world and are at risk of extinction at any time. Infrared trigger camera technology is one of the most effective means at present, however, the data obtained are characterized by massi…
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Generation of Background Model Image Using Foreground Model Open
Proper consideration of the temporal domain and the spatial domain is essential to perform robust foreground object detection in visual surveillance. However, there are difficulties in considering long-term temporal information with CNN-ba…
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Moving Vehicle Detection with Shadow Elimination Based on Improved ViBe Algorithm Open
Moving vehicle detection based on video processing has been widely used in intelligent transportation system recently. However there are also many problems, such as dynamic background, ghost region, and shadow of moving objects. This paper…
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Background Subtraction with Real-time Semantic Segmentation Open
Accurate and fast foreground object extraction is very important for object tracking and recognition in video surveillance. Although many background subtraction (BGS) methods have been proposed in the recent past, it is still regarded as a…
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Saliency Driven Image Manipulation Open
Have you ever taken a picture only to find out that an unimportant background object ended up being overly salient? Or one of those team sports photos where your favorite player blends with the rest? Wouldn't it be nice if you could tweak …
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An Efficient Scheme to Obtain Background Image in Video for YOLO-based Static Object Recognition Open
Detecting backgrounds in videos is an important technology that can be used for many applications such as management of major facilities and military surveillance depending on the purpose. It is difficult to accurately find and identify im…
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An Algorithm of Occlusion Detection for the Surveillance Camera Open
As more and more surveillance cameras are deployed in the Internet of Things, it takes more and more work to ensure the cameras are not occluded. An algorithm of detecting whether the surveillance camera is occluded is proposed by comparin…
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Assessing Performance of Aerobic Routines using Background Subtraction and Intersected Image Region Open
It is recommended for a novice to engage a trained and experience person, i.e., a coach before starting an unfamiliar aerobic or weight routine. The coach's task is to provide real-time feedbacks to ensure that the routine is performed in …
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Automatic encoding of a view-centered background image in the macaque temporal lobe Open
Perceptual processing along the ventral visual pathway to the hippocampus is hypothesized to be substantiated by signal transformation from retinotopic space to relational space, which represents interrelations among constituent visual ele…
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Method of Moving Region Detection for Static Camera Open
The moving object detection from a stationary video sequence is a primary task in various computer vision applications. In this proposed system; three processing levels are suppose to perform: detects moving objects region from the backgro…
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Small target detection using edge-preserving background estimation based on maximum patch similarity Open
Infrared small target detection is widely applied in lots of practical applications, but due to the complicated edges in practical scenarios, most existing detection algorithms usually lead to many false alarms and cannot detect the target…
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A new subspace based solution to background modelling and change detection Open
Forsurveillance system, the background subtraction plays an important role formoving object detection with an algorithm embedded in the camera. Since theexistence algorithms cannot satisfy the good accuracy on complex backgroundsincluding …
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Combining Template Matching and Background Subtraction Techniques to Detect Objects in Infrared Video Sequences Open
In this paper, an algorithm is introduced combining a template matching technique with background subtraction to detect moving targets on a road captured on video using a static camera. The designed algorithm based on combining the two tec…
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Moving Object Detection Based on Adaptive Background Updating Algorithm Open
Background modeling and subtraction method is an important part in motion detection.In this paper, we propose a novel moving object detection method based on four frame difference arithmetic of adaptive background updating algorithmto buil…
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Marker Quality Improvement in Augmented Reality Using Grey-scale Method Open
Augmented Reality (AR) is a technology which combines the real world and virtual world, where users can feel the interaction between the two worlds. Marker Augmented reality or known as marker-based tracking technique uses a marker as medi…
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Single-Pixel Background Modeling Algorithm for Strong Sky Scenes Based on Local Region Spatial Bases Open
In the dim-small target detection field, background suppression is a key technique for stably extracting the target. In order to effectively suppress the background to enhance the target, this paper presents a novel background modeling alg…
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Research on Improvement of Background Modeling and Detection Method Based on Frame Difference Open
In order to improve the phenomena such as false edge and void in static background detection of frame difference method and the problems of slow background update and poor adaptability in background difference method, an improved research …
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Weakly Supervised Foreground Object Detection Network Using Background Model Image Open
In visual surveillance, deep learning-based foreground object detection algorithms are superior to classical background subtraction (BGS)-based algorithms. However, deep learning-based methods are limited because detection performance dete…