Results 261 to 270 of about 234,956 (309)
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Visualizing features and tracking their evolution
Computer, 1994We describe basic algorithms to extract coherent amorphous regions (features or objects) from 2 and 3D scalar and vector fields and then track them in a series of consecutive time steps. We use a combination of techniques from computer vision, image processing, computer graphics, and computational geometry and apply them to data sets from computational
Ravi Samtaney +3 more
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Tracking-Tolerant Visual Cryptography
2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2019We introduce a novel secure display system, which uses visual cryptography [4] with tolerance for tracking. Our system brings cryptographic privacy from text to virtual worlds [3]. Much like traditional encryption that uses a public key and a private key, our system uses two images that are both necessary for visual decryption of the data.
Ruofei Du, Eric Lee, Amitabh Varshney
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Visual tracking of jellyfish in situ
Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002Marine biologists desire an automated system for observing gelatinous zooplankton. This study represents the first attempt at real-time robotic tracking of a gelatinous animal in the open ocean. Challenges stem from uneven lighting, encounters with other marine life and frequent out-of-frame events. Analysis of a large video library of human-controlled
Jason H. Rife, Stephen M. Rock
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Visual Tracking and the Primate Flocculus
Science, 1975Purkinje cells in the primate flocculus discharge specifically in relation to visual tracking, effectively generating a velocity profile of the target during pursuit. It is suggested that these neurons supply oculomotor centers with the velocity command signals needed to support pursuit eye movements.
F A, Miles, J H, Fuller
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An improvement in MSEPF for visual tracking
Artificial Life and Robotics, 2010Recently, many approaches to applying a particle filter to a visual tracking problem have been proposed. However, it is hard to implement such a filter in a real-time system because it requires a great deal of computation time and considerable resources to achieve a high accuracy.
Yuki Nakagama, Masahiro Yokomichi
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Eye Tracking for Visual Marketing
Foundations and TrendsĀ® in Marketing, 2008We provide the theory of visual attention and eye-movements that serves as a basis for evaluating eye-tracking research and for discussing salient and emerging issues in visual marketing. Motivated from its rising importance in marketing practice and its potential for theoretical contribution, we first review eye-tracking research for visual marketing.
Wedel, M., Pieters, R.
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Visual tracking of object silhouettes
2009 16th IEEE International Conference on Image Processing (ICIP), 2009In this paper we propose a new method that addresses the problem of tracking the bitmap (silhouette) of an object in a video under very general conditions. We assume a general target, possibly non rigid, with no prior information except initialization.
Guy Boudoukh, Ido Leichter, Ehud Rivlin
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Fragmentation handling for visual tracking
Signal, Image and Video Processing, 2012Object detection and tracking using background subtraction suffers from the fragmentation problem which means one object fragments into several blobs because of being similar with the reference image in color. In this paper, we build a visual tracking framework using background subtraction for object detection, and we address the association difficulty
Weicun Xu, Qingjie Zhao, Dongbing Gu
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Patch-Based Tracking and Detecting for Visual Tracking
2013As one of the most traditional tracking methods, particle filter has been improved in many previous tracking methods due to its non-Gaussian and non-linear distribution. Meanwhile, pure tracking methods cannot achieve good performance in complex tracking scenarios where there enormous deformation and occlusion occur.
Qianwen Li, Yue Zhou 0005
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Spiral visual and motional tracking
Neurocomputing, 2017Constructing a visual appearance model is essential for visual tracking. However, relying only on the visual model during appearance changes is insufficient and may even interfere with achieving good results. Although several visual tracking algorithms emphasize motional tracking that estimates the motion state of the object center between consecutive ...
Xiao Yun, Gang Xiao
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