| 1. |
- Felsberg, Michael, 1974-
(författare)
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Enhanced Distribution Field Tracking using Channel Representations
- 2013
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Ingår i: Proceedings of the IEEE International Conference on Computer Vision Workshops (ICCVW), 2013. - : IEEE conference proceedings. - 9781479930227 ; , s. 121-128
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Konferensbidrag (refereegranskat)abstract
- Visual tracking of objects under varying lighting conditions and changes of the object appearance, such as articulation and change of aspect, is a challenging problem. Due to its robustness and speed, distribution field tracking is among the state-of-the-art approaches for tracking objects with constant size in grayscale sequences. According to the theory of averaged shifted histograms, distribution fields are an approximation of kernel density estimates. Another, more efficient approximation are channel representations, which are used in the present paper to derive an enhanced computational scheme for tracking. This enhanced distribution field tracking method outperforms several state-ofthe-art methods on the VOT2013 challenge, which evaluates accuracy, robustness, and speed.
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| 2. |
- Kristan, Matej, et al.
(författare)
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The Visual Object Tracking VOT2013 challenge results
- 2013
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Ingår i: 2013 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW). - : IEEE. - 9781479930227 ; , s. 98-111
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Konferensbidrag (refereegranskat)abstract
- Visual tracking has attracted a significant attention in the last few decades. The recent surge in the number of publications on tracking-related problems have made it almost impossible to follow the developments in the field. One of the reasons is that there is a lack of commonly accepted annotated data-sets and standardized evaluation protocols that would allow objective comparison of different tracking methods. To address this issue, the Visual Object Tracking (VOT) workshop was organized in conjunction with ICCV2013. Researchers from academia as well as industry were invited to participate in the first VOT2013 challenge which aimed at single-object visual trackers that do not apply pre-learned models of object appearance (model-free). Presented here is the VOT2013 benchmark dataset for evaluation of single-object visual trackers as well as the results obtained by the trackers competing in the challenge. In contrast to related attempts in tracker benchmarking, the dataset is labeled per-frame by visual attributes that indicate occlusion, illumination change, motion change, size change and camera motion, offering a more systematic comparison of the trackers. Furthermore, we have designed an automated system for performing and evaluating the experiments. We present the evaluation protocol of the VOT2013 challenge and the results of a comparison of 27 trackers on the benchmark dataset. The dataset, the evaluation tools and the tracker rankings are publicly available from the challenge website(1).
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| 3. |
- Lv, Zhihan
(författare)
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Wearable Smartphone : Wearable Hybrid Framework for Hand and Foot Gesture Interaction on Smartphone
- 2013
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Ingår i: 2013 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW). - 9781479930227 ; , s. 436-443
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Konferensbidrag (refereegranskat)abstract
- There is a increasing interest in creating wearable smartphone interaction technologies. A novel smartphone wearable hybrid interaction framework based on mixed low-cost hardware and software is proposed in this work. The software application renders touch-less application graphics and status information using smart phone's screen. Augmented reality image rendering technology is employed for a convenient hand/foot and phone interaction. The users interact with the application using hand/foot gesture motion behind the camera, which trigger the interaction event and generate activity sequences for interactive buffers. The touch-less algorithm provides a core support for hand/foot-gesture interaction by accurately detecting and tracking the hand/foot gesture. Four proof-of-concept application prototypes are developed based on the wearable hybrid framework. The user study evaluation demonstrates the social acceptability of the designed hand/foot gestures and the usability of the applications on proposed wearable hybrid framework with touch-less interaction approach.
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