| 1. |
- Kleinhans, Ashley, et al.
(författare)
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Modelling primate control of grasping for robotics applications
- 2015. - 1
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Ingår i: Computer Vision - ECCV 2014 Workshops. - Cham : Springer International Publishing Switzerland. - 9783319161808 - 9783319161815 ; , s. 438-447
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Bokkapitel (refereegranskat)abstract
- The neural circuits that control grasping and perform related visual processing have been studied extensively in macaque monkeys. We are developing a computational model of this system, in order to better understand its function, and to explore applications to robotics. We recently modelled the neural representation of three-dimensional object shapes, and are currently extending the model to produce hand postures so that it can be tested on a robot. To train the extended model, we are developing a large database of object shapes and corresponding feasible grasps. Finally, further extensions are needed to account for the influence of higher-level goals on hand posture. This is essential because often the same object must be grasped in different ways for different purposes. The present paper focuses on a method of incorporating such higher-level goals. A proof-of-concept exhibits several important behaviours, such as choosing from multiple approaches to the same goal. Finally, we discuss a neural representation of objects that supports fast searching for analogous objects.
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| 2. |
- Kristan, Matej, et al.
(författare)
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The Visual Object Tracking VOT2014 Challenge Results
- 2015
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Ingår i: COMPUTER VISION - ECCV 2014 WORKSHOPS, PT II. - Cham : Springer. - 9783319161808 - 9783319161815 ; , s. 191-217
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Konferensbidrag (refereegranskat)abstract
- The Visual Object Tracking challenge 2014, VOT2014, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 38 trackers are presented. The number of tested trackers makes VOT 2014 the largest benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the appendix. Features of the VOT2014 challenge that go beyond its VOT2013 predecessor are introduced: (i) a new VOT2014 dataset with full annotation of targets by rotated bounding boxes and per-frame attribute, (ii) extensions of the VOT2013 evaluation methodology, (iii) a new unit for tracking speed assessment less dependent on the hardware and (iv) the VOT2014 evaluation toolkit that significantly speeds up execution of experiments. The dataset, the evaluation kit as well as the results are publicly available at the challenge website (http://votchallenge.net).
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| 3. |
- Suchan, Jakob, et al.
(författare)
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Perceptual Narratives of Space and Motion for Semantic Interpretation of Visual Data
- 2014
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Ingår i: Computer Vision - ECCV 2014 Workshops. - Cham : Springer. - 9783319161808 - 9783319161815 ; , s. 339-354
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Konferensbidrag (refereegranskat)abstract
- We propose a commonsense theory of space and motion for the high-level semantic interpretation of dynamic scenes. The theory provides primitives for commonsense representation and reasoning with qualitative spatial relations, depth profiles, and spatio-temporal change; these may be combined with probabilistic methods for modelling and hypothesising event and object relations. The proposed framework has been implemented as a general activity abstraction and reasoning engine, which we demonstrate by generating declaratively grounded visuo-spatial narratives of perceptual input from vision and depth sensors for a bench-mark scenario. Our long-term goal is to provide general tools (integrating different aspects of space, action, and change) necessary for tasks such as real-time human activity interpretation and dynamic sensor control within the purview of cognitive vision, interaction, and control
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| 4. |
- Piccini, Tommaso, 1987-, et al.
(författare)
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Good Edgels to Track: Beating the Aperture Problem with Epipolar Geometry
- 2015
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Ingår i: COMPUTER VISION - ECCV 2014 WORKSHOPS, PT II. - Cham : Elsevier. - 9783319161808 ; , s. 652-664
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Konferensbidrag (refereegranskat)abstract
- An open issue in multiple view geometry and structure from motion, applied to real life scenarios, is the sparsity of the matched key-points and of the reconstructed point cloud. We present an approach that can significantly improve the density of measured displacement vectors in a sparse matching or tracking setting, exploiting the partial information of the motion field provided by linear oriented image patches (edgels). Our approach assumes that the epipolar geometry of an image pair already has been computed, either in an earlier feature-based matching step, or by a robustified differential tracker. We exploit key-points of a lower order, edgels, which cannot provide a unique 2D matching, but can be employed if a constraint on the motion is already given. We present a method to extract edgels, which can be effectively tracked given a known camera motion scenario, and show how a constrained version of the Lucas-Kanade tracking procedure can efficiently exploit epipolar geometry to reduce the classical KLT optimization to a 1D search problem. The potential of the proposed methods is shown by experiments performed on real driving sequences.
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| 5. |
- Zhang, Cheng, 1987-, et al.
(författare)
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How to Supervise Topic Models
- 2014
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Ingår i: Computer Vision - ECCV 2014 Workshops. - Zurich : Springer Publishing Company. - 9783319161815 ; , s. 500-515
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Bokkapitel (refereegranskat)abstract
- Supervised topic models are important machine learning tools whichhave been widely used in computer vision as well as in other domains. However,there is a gap in the understanding of the supervision impact on the model. Inthis paper, we present a thorough analysis on the behaviour of supervised topicmodels using Supervised Latent Dirichlet Allocation (SLDA) and propose twofactorized supervised topic models, which factorize the topics into signal andnoise. Experimental results on both synthetic data and real-world data for computer vision tasks show that supervision need to be boosted to be effective andfactorized topic models are able to enhance the performance.
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| 6. |
- Öfjäll, Kristoffer, 1985-, et al.
(författare)
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Weighted Update and Comparison for Channel-Based Distribution Field Tracking
- 2015
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Ingår i: COMPUTER VISION - ECCV 2014 WORKSHOPS, PT II. - Cham : Springer. - 9783319161815 ; , s. 218-231
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Konferensbidrag (refereegranskat)abstract
- There are three major issues for visual object trackers: modelrepresentation, search and model update. In this paper we address thelast two issues for a specic model representation, grid based distributionmodels by means of channel-based distribution elds. Particularly weaddress the comparison part of searching. Previous work in the areahas used standard methods for comparison and update, not exploitingall the possibilities of the representation. In this work we propose twocomparison schemes and one update scheme adapted to the distributionmodel. The proposed schemes signicantly improve the accuracy androbustness on the Visual Object Tracking (VOT) 2014 Challenge dataset.
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