Results 41 to 50 of about 107,833 (160)
This work proposes the Pixel-Based Change Detection using a Moving Camera (PBCD-MC) algorithm for detecting anomalies in a cluttered industrial site. The surveillance of industrial environments may be challenging for an anomaly detection problem, as the ...
Luiz G. C. Tavares +5 more
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Visual Object Servo Tracking Based on the Particle Filter Method Using a Pan-Tilt-Zoom Camera
We present a servo control model in a particle filter to realize robust visual object tracking using Pan-Tilt-Zoom (PTZ) camera. The particle filter method has attracted much attention due to its robust tracking performance in cluttered environments ...
Cao Songxiao, Wang Xuanyin, Xiang Ke
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De-ghosting in High Dynamic Range Imaging Based on Intensity Scaling Cue
A High Dynamic Range (HDR) image produced from a sequence of low dynamic range (LDR) images can contain motion artefacts (ghosting) if the scene contains moving objects.
SHIM, S.-O +3 more
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Design and Implementation of Moving Object Visual Tracking System using μ-Synthesis Controller
Considering the increasing use of security and surveillance systems, moving object tracking systems are an interesting research topic in the field of computer vision.
Saripudin Saripudin +3 more
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Robust Tracking in Aerial Imagery Based on an Ego-Motion Bayesian Model
A novel strategy for object tracking in aerial imagery is presented, which is able to deal with complex situations where the camera ego-motion cannot be reliably estimated due to the aperture problem (related to low structured scenes), the strong ego ...
del Blanco CarlosR +2 more
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PENJEJAK OBJEK DENGAN BEBERAPA KAMERA MENGGUNAKAN ALGORITMA THREE STEP SEARCH
In this paper we address the development of an object tracking system with multiple fixed cameras usingmotion estimation. Three step search algorithm is used to estimate object movement that across camera.
Aghus Sofwan
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In this article, a system for tracking human’s position and orientation in indoor environment was developed utilizing environmental cameras. The system consists of cameras installed in the environment at fixed locations and orientations, called ...
Veerachart Srisamosorn +4 more
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Future-Frame Prediction for Fast-Moving Objects with Motion Blur
We propose a deep neural network model that recognizes the position and velocity of a fast-moving object in a video sequence and predicts the object’s future motion. When filming a fast-moving subject using a regular camera rather than a super-high-speed
Dohae Lee, Young Jin Oh, In-Kwon Lee
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Online Moving Camera Background Subtraction [PDF]
Recently several methods for background subtraction from moving camera were proposed. They use bottom up cues to segment video frames into foreground and background regions. Due to this lack of explicit models, they can easily fail to detect a foreground object when such cues are ambiguous in certain parts of the video.
Ali Elqursh, Ahmed M. Elgammal
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The use of collision detection to infer multi-camera calibration quality
Optical motion capture systems are widely used in sports and medicine. The performance of these systems depends on, amongst other factors, the quality of the camera calibration process.
Sook-Yee eChong +5 more
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