Results 111 to 120 of about 107,833 (160)
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Bayesian Self-Calibration of a Moving Camera
Computer Vision and Image Understanding, 2002In this paper, a Bayesian self-calibration approach is proposed using sequential importance sampling (SIS). Given a set of feature correspondences tracked through an image sequence, the joint posterior distributions of both camera extrinsic and intrinsic parameters as well as the scene structure are approximated by a set of samples and their ...
Gang Qian, Rama Chellappa
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Detecting Abandoned Objects With a Moving Camera
IEEE Transactions on Image Processing, 2010This paper presents a novel framework for detecting nonflat abandoned objects by matching a reference and a target video sequences. The reference video is taken by a moving camera when there is no suspicious object in the scene. The target video is taken by a camera following the same route and may contain extra objects.
Hui Kong 0001 +2 more
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Moving Object Detection for Moving Cameras on Superpixel Level
2013 Seventh International Conference on Image and Graphics, 2013In this paper, we will present a novel algorithm for detecting moving objects from relatively dynamic background in particular video sequences. To achieve our goal, we introduced a new conception called "feature super pixel". As is well known, by tracking feature points we can easily tell whether a feature point belongs to moving object or not. However,
Qiyu Liao, Nenghai Yu, Bin Liu 0016
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Short Film Studies, 2018
Abstract No human actors are seen, but Flimmer still seethes with motion, both motion within the frame and motion of the frame. The subtle camera movements, perhaps at first unnoticed, play an important role in creating the poetic mood of the film, curious, playful and reflexive.
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Abstract No human actors are seen, but Flimmer still seethes with motion, both motion within the frame and motion of the frame. The subtle camera movements, perhaps at first unnoticed, play an important role in creating the poetic mood of the film, curious, playful and reflexive.
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Moving object detection under free-moving camera
2010 IEEE International Conference on Image Processing, 2010The detection of moving objects in complex environments with various types of motion is a difficult problem because the camera motion and the object motion are mixed. This paper proposes a moving object detection algorithm that uses motion clustering and classification from only two consecutive image frames captured by a free-moving camera.
Jiman Kim, Guensu Ye, Daijin Kim 0001
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Detecting Moving Objects Using a Camera on a Moving Platform
2010 20th International Conference on Pattern Recognition, 2010This paper proposes a new ego-motion estimation and background/foreground classification method to effectively segment moving objects from videos captured by a moving camera on a moving platform. Existing methods for moving-camera detecting impose serious constraints.
Chung-Ching Lin, Marilyn Wolf
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Moving object detection and tracking from moving camera
2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2011In this paper, we deal multi moving object detection and tracking under moving camera. Moving objects are detected by homography-based motion detection. After moving objects are detected, we apply online-boosting trackers to track moving objects. Because each tracker and detector is measured independently, we integrate two systems into one system ...
Won-Jin Kim, In-So Kweon
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Moving Object Detection with Fixed Camera and Moving Camera for Automated Video Analysis
International Journal of Computer Applications Technology and Research, 2014Detection of moving objects in a video sequence is a difficult task and robust moving object detection in video frames for video surveillance applications is a challenging problem. Object detection is a fundamental step for automated video analysis in many vision applications.
Dipali Shahare, Ranjana Shende
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Passive ranging using a moving camera
Journal of Robotic Systems, 1992AbstractThis article addresses the problem of determining the 3‐dimensional locations of salient points in the environment of a moving camera based on a monocular image sequence obtained by the camera. The camera's translational and rotational velocities are assumed to be known approximately via inertial sensors. The motion of the camera is represented
Chandra Shekhar 0002, Rama Chellappa
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Swimmer Localization from a Moving Camera
2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2013At the highest level of competitive sport, nearly all performances of athletes (both training and competitive) are chronicled using video. Video is then often viewed by expert coaches/analysts who then manually label important performance indicators to gauge performance.
Sha, Long +4 more
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