Results 1 - 10 of 40,074

Object Tracking: A Survey

by Alper Yilmaz, Omar Javed, Mubarak Shah , 2006
"... The goal of this article is to review the state-of-the-art tracking methods, classify them into different categories, and identify new trends. Object tracking, in general, is a challenging problem. Difficulties in tracking objects can arise due to abrupt object motion, changing appearance patterns o ..."
Abstract - Cited by 701 (7 self) - Add to MetaCart
The goal of this article is to review the state-of-the-art tracking methods, classify them into different categories, and identify new trends. Object tracking, in general, is a challenging problem. Difficulties in tracking objects can arise due to abrupt object motion, changing appearance patterns

Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions

by Gediminas Adomavicius, Alexander Tuzhilin - IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING , 2005
"... This paper presents an overview of the field of recommender systems and describes the current generation of recommendation methods that are usually classified into the following three main categories: content-based, collaborative, and hybrid recommendation approaches. This paper also describes vario ..."
Abstract - Cited by 1490 (23 self) - Add to MetaCart
This paper presents an overview of the field of recommender systems and describes the current generation of recommendation methods that are usually classified into the following three main categories: content-based, collaborative, and hybrid recommendation approaches. This paper also describes

PixelTrack: a fast adaptive algorithm for tracking non-rigid objects

by Stefan Duffner, Christophe Garcia - In ICCV , 2013
"... In this paper, we present a novel algorithm for fast track-ing of generic objects in videos. The algorithm uses two components: a detector that makes use of the generalised Hough transform with pixel-based descriptors, and a prob-abilistic segmentation method based on global models for foreground an ..."
Abstract - Cited by 8 (0 self) - Add to MetaCart
. The pro-posed tracking method has been thoroughly evaluated on challenging standard videos, and outperforms state-of-the-art tracking methods designed for the same task. Finally, the proposed models allow for an extremely efficient imple-mentation, and thus tracking is very fast. 1.

Good features to track

by Jianbo Shi, Carlo Tomasi , 1994
"... No feature-based vision system can work unless good features can be identified and tracked from frame to frame. Although tracking itself is by and large a solved problem, selecting features that can be tracked well and correspond to physical points in the world is still hard. We propose a feature se ..."
Abstract - Cited by 2050 (14 self) - Add to MetaCart
selection criterion that is optimal by construction because it is based on how the tracker works, and a feature monitoring method that can detect occlusions, disocclusions, and features that do not correspond to points in the world. These methods are based on a new tracking algorithm that extends previous

Detection and Tracking of Point Features

by Carlo Tomasi, Takeo Kanade - International Journal of Computer Vision , 1991
"... The factorization method described in this series of reports requires an algorithm to track the motion of features in an image stream. Given the small inter-frame displacement made possible by the factorization approach, the best tracking method turns out to be the one proposed by Lucas and Kanade i ..."
Abstract - Cited by 629 (2 self) - Add to MetaCart
The factorization method described in this series of reports requires an algorithm to track the motion of features in an image stream. Given the small inter-frame displacement made possible by the factorization approach, the best tracking method turns out to be the one proposed by Lucas and Kanade

Catheter Tracking via Online Learning for Dynamic Motion Compensation in

by Transcatheter Aortic, Valve Implantation, Peng Wang, Yefeng Zheng, Matthias John, Dorin Comaniciu
"... Abstract. Dynamic overlay of 3D models onto 2D X-ray images has important applications in image guided interventions. In this paper, we present a novel catheter tracking for motion compensation in the Transcatheter Aortic Valve Implantation(TAVI). To address such challenges as catheter shape and app ..."
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current state-of-the-art tracking methods in tracking catheters for clinical applications. 1

Kernel-Based Object Tracking

by Dorin Comaniciu, Visvanathan Ramesh, Peter Meer , 2003
"... A new approach toward target representation and localization, the central component in visual tracking of non-rigid objects, is proposed. The feature histogram based target representations are regularized by spatial masking with an isotropic kernel. The masking induces spatially-smooth similarity fu ..."
Abstract - Cited by 900 (4 self) - Add to MetaCart
. In the presented tracking examples the new method successfully coped with camera motion, partial occlusions, clutter, and target scale variations. Integration with motion filters and data association techniques is also discussed. We describe only few of the potential applications: exploitation of background

A Superior Tracking Approach: Building a strong Tracker through Fusion

by Christian Bailer, Alain Pagani, Didier Stricker , 2014
"... General object tracking is a challenging problem, where each tracking algorithm performs well on different sequences. This is because each of them has different strengths and weaknesses. We show that this fact can be utilized to create a fusion approach that clearly outperforms the best tracking a ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
results in form of the object’s bounding box as input and thus can work with arbitrary tracking algorithms. It is also suited for live tracking. We evaluated our approach using 29 different algorithms on 51 sequences and show the su-periority of our approach compared to state-of-the-art tracking methods.

Adaptive Multiple Component Metric Learning for Robust Visual Tracking

by Behzad Bozorgtabar
"... Abstract. In this paper, we present a new robust visual tracking approach that incorporates an adaptive metric learning in a multiple components framework. Using a similar overall approach to other state-of-the-art tracking methods, which pose object tracking as a binary classification problem, we f ..."
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Abstract. In this paper, we present a new robust visual tracking approach that incorporates an adaptive metric learning in a multiple components framework. Using a similar overall approach to other state-of-the-art tracking methods, which pose object tracking as a binary classification problem, we

Tracking by sampling trackers

by Junseok Kwon, Kyoung Mu Lee , 2011
"... We propose a novel tracking framework called visual tracker sampler that tracks a target robustly by searching for the appropriate trackers in each frame. Since the realworld tracking environment varies severely over time, the trackers should be adapted or newly constructed depending on the current ..."
Abstract - Cited by 33 (3 self) - Add to MetaCart
targets accurately and robustly in the real-world tracking environments and outperforms the state-of-the-art tracking methods. 1.
Results 1 - 10 of 40,074