Results 261 to 270 of about 106,893 (311)
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2017 IEEE International Conference on Image Processing (ICIP), 2017
Visual tracking is a fundamental problem in computer vision. However, due to the (sometimes) ambiguous target information given at the first frame, it has also been criticized as less well-posed compared with other tasks with clearly-defined targets, such as object detection and semantic segmentation. In this paper, we try to evaluate the importance of
Xinyu Wang 0010 +4 more
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Visual tracking is a fundamental problem in computer vision. However, due to the (sometimes) ambiguous target information given at the first frame, it has also been criticized as less well-posed compared with other tasks with clearly-defined targets, such as object detection and semantic segmentation. In this paper, we try to evaluate the importance of
Xinyu Wang 0010 +4 more
openaire +1 more source
2016 23rd International Conference on Pattern Recognition (ICPR), 2016
In this paper, we address the problem of visual tracking in videos without using a pre-learned model of the object. This type of model-free tracking is a hard problem because of limited information about the object, abrupt object motion, and shape deformation.
Ivan Bogun, Eraldo Ribeiro
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In this paper, we address the problem of visual tracking in videos without using a pre-learned model of the object. This type of model-free tracking is a hard problem because of limited information about the object, abrupt object motion, and shape deformation.
Ivan Bogun, Eraldo Ribeiro
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2012 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS) Proceedings, 2012
This paper presents an improved kernel-based target tracking that uses new and effective features able to describe the target appearance. The key idea consists of adopting features that are related to the visual perception of the target in place of its color histogram. The change of the feature space is twofold advantageous.
BRUNI, VITTORIA +2 more
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This paper presents an improved kernel-based target tracking that uses new and effective features able to describe the target appearance. The key idea consists of adopting features that are related to the visual perception of the target in place of its color histogram. The change of the feature space is twofold advantageous.
BRUNI, VITTORIA +2 more
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Stationary objects in multiple object tracking
2007 IEEE Conference on Advanced Video and Signal Based Surveillance, 2007This paper presents an approach to detect stationary foreground objects in naturally busy surveillance video scenes with several moving objects. Our approach is inspired by human's visual cognition processes and builds upon a multi-tier video tracking paradigm with main layers being the spatially based "peripheral tracking" loosely corresponding to the
Sadiye Guler +2 more
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2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2023
Ryan Walczyk +4 more
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Ryan Walczyk +4 more
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Monocular Quasi-Dense 3D Object Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Trevor Darrell +2 more
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Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview
ACM Computing Surveys, 2023Hongyan Liu, Jun He, Zhaoxin Fan
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Small Object Detection and Tracking: A Comprehensive Review
Sensors, 2023Reza Derakhshani +2 more
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HYDRO-3D: Hybrid Object Detection and Tracking for Cooperative Perception Using 3D LiDAR
IEEE Transactions on Intelligent Vehicles, 2023Xin Xia, Jiaqi Ma, Runsheng Xu
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