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Tracking People and Their Objects
2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013Current pedestrian tracking approaches ignore important aspects of human behavior. Humans are not moving independently, but they closely interact with their environment, which includes not only other persons, but also different scene objects. Typical everyday scenarios include people moving in groups, pushing child strollers, or pulling luggage.
Tobias Baumgartner 0002 +2 more
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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
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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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Tracking in object action space
Computer Vision and Image Understanding, 2013In this paper we focus on the joint problem of tracking humans and recognizing human action in scenarios such as a kitchen scenario or a scenario where a robot cooperates with a human, e.g., for a manufacturing task. In these scenarios, the human directly interacts with objects physically by using/manipulating them or by, e.g., pointing at them such as
Volker Krüger, Dennis Herzog
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MULTIPLE OBJECT TRACKING WITH RELATIONS
Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods, 2012Dealing with multi-object tracking raises several issues; an essential point is to model possible interactions between objects. Indeed, while reliable algorithms for tracking multiple non-interacting objects in constrained scenarios exist, tracking of multiple interacting objects in uncontrolled scenarios is still a challenge.
CATTELANI, LUCA +2 more
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Tracking objects with a recognition algorithm
Pattern Recognition Letters, 1998In this paper, we propose an efficient method for tracking 3D modelled objects in cluttered scenes. Rather than tracking objects in the image, our approach relies on the object recognition aspect of tracking. Possible matches between image and model features define volumes within a transformation space.
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Tracking of generic objects for video object generation
Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 2002A tracking technique for creating generic video objects is presented. It assumes that the object in the initial image has been previously defined by an object partition. The object tracking relies on the concept of partition projection. The projection of a partition accommodates the previous partition information into the current image.
Ferran Marqués, Joan Llach
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003
A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel. The masking induces spatially-smooth similarity functions suitable for gradient-based optimization, hence,
Dorin Comaniciu +2 more
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A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel. The masking induces spatially-smooth similarity functions suitable for gradient-based optimization, hence,
Dorin Comaniciu +2 more
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