GRIN
发表于 2025-3-23 13:04:20
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auxiliary
发表于 2025-3-23 16:39:53
Online Video Registration of Dynamic Scenes Using Frame Predictionhis approach has three steps: (i) Assume that a few frames are already registered. (ii) Using the registered frames, the next frame is predicted. (iii) A new video frame is registered to the predicted frame..Frame prediction overcomes the bias introduced by dynamics in the scene, even when dynamic o
连接
发表于 2025-3-23 18:42:47
Dynamic Texture Recognition Using Volume Local Binary Patterns this paper, a new method for recognizing dynamic textures is proposed. The textures are modeled with volume local binary patterns (VLBP), which are an extension of the LBP operator widely used in still texture analysis, combining the motion and appearance together. A rotation invariant VLBP is also
BLANC
发表于 2025-3-24 00:46:23
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晚来的提名
发表于 2025-3-24 05:17:24
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摊位
发表于 2025-3-24 06:55:19
Tracking of Multiple Objects Using Optical Flow Based Multiscale Elastic Matchingic matching model is general in two significant ways. First, it is suitable for tracking of both, rigid and deformable objects. Second, it is suitable for tracking using both, fixed cameras and moving cameras since the model does not rely on background subtraction. The elastic matching algorithm exp
mastopexy
发表于 2025-3-24 14:12:11
Real-Time Tracking with Classifiersing statistical learning algorithms often work at a near real-time rate..We present the use of classifiers as likelihood observation function of a particle filter. The original resulting method is able to simultaneously recognize and track an object using only a statistical model learnt from a gener
HARP
发表于 2025-3-24 18:35:38
A Probabilistic Framework for Correspondence and Egomotionn can be extracted from images. Second, that by increasing the amount of correspondence information used, more accurate egomotion estimation is possible. We present a novel approach illustrating these principles..We first present a framework for using Gabor filters to generate such correspondence pr
山顶可休息
发表于 2025-3-24 22:31:54
Estimating the Pose of a 3D Sensor in a Non-rigid Environmentrast, we tackle the case of a non-rigid environment observed by a 3D sensor, which has been neglected in the literature. We represent the environment as sets of time-varying 3D points explained by a low-rank shape model, that we derive in its implicit and explicit forms. The parameters of this model
PRE
发表于 2025-3-25 00:37:00
Conference proceedings 2007image processing, and vision-based c- trol. The goal of the International Workshop on Dynamical Vision (WDV) is to converge di?erent aspects of the research on dynamical vision and to identify common mathematical problems, models, and methods for future research in this emerging and active area.