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Searching for authors named "Nils Krahnstoever" – sorted by Relevance.

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  • Automatic Face Recognition from Skeletal Remains  
  • by Peter Tu, Rebecca Book, Xiaoming Liu, Nils Krahnstoever
  • …The ability to determine the identity of a skull found at a crime scene is of critical importance to the law enforcement community. Traditional clay-based methods attempt to reconstruct the face so as to enable identification of the deceased by members of the general public. However, these reconstru…
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  • Towards a Unified Framework for Tracking and Analysis of Human Motion  
  • by Nils Krahnstoever, N. Krahnstver, Rajeev Sharma, Mohammed Yeasin, R. Sharma — 2001
  • …We propose a framework for detecting, tracking and analyzing non-rigid motion based on learned motion patterns. The framework features an appearance based approach to represent the spatial information and Hidden Markov Models' (HMM) to encode the temporal dynamics' of the time varying visual pattern…
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  • Automatic Acquisition and Initialization of Kinematic Models  
  • by Nils Krahnstoever, Mohammed Yeasim, Rajeev Sharma, R. Sharma — 2001 — In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR’01), Technical Sketches, Kauai
  • …We extract and initialize kinematic models from monocular visual data from the ground up without any manual initialization, adaptation or prior model knowledge. Visual analysis, classification and tracking of articulated motion is challenging due to the difficulties involved in separating noise and …
  • Cited by 5 (0 self) – Add To MetaCart
  • Prosody Based Co-analysis of Deictic Gestures and Speech in Weather Narration Broadcast  
  • by Sanshzar Kettebekov, Mohammed Yeasin, Nils Krahnstoever, Rajeev Sharma — 2002 — Proceedings of the third international conference on language resources and evaluation (LREC 2002), Multimodal
  • …Although speech and gesture recognition has been studied extensively all the successful attempts of combining them in the unified framework were semantically motivated, e.g., keyword co-occurrence. Such formulations inherited the complexity of natural language processing. This paper presents a stati…
  • Cited by 4 (1 self) – Add To MetaCart
  • What are customers looking at  
  • by Xiaoming Liu, Nils Krahnstoever, Ting Yu, Peter Tu — 2007 — In This volume
  • …Computer vision approaches for retail applications can provide value far beyond the common domain of loss prevention. Gaining insight into the movement and behaviors of shoppers is of high interest for marketing, merchandizing, store operations and data mining. Of particular interest is the process …
  • Cited by 1 (0 self) – Add To MetaCart
  • Adaptive Texture and Color Segmentation for Tracking Moving Objects  
  • by Ercan Ozyildiz, Nils Krahnstoever, Rajeev Sharma — 2002 — Pattern Recognition
  • …Color segmentation is a very popular technique for real-time object tracking. However,even with adaptive color segmentation schemes, under varying environmental conditions in video sequences, the tracking tends to be unreliable. To overcome this problem, many multiple cue fusion techniques have been…
  • Cited by 10 (0 self) – Add To MetaCart
  • A Real-Time Framework for Natural Multimodal Interaction with Large Screen Displays  
  • by Nils Krahnstoever, Sanszhar Kettebekov, S. Kettebekov, Rajeev Sharma, Mohammed Yeasin, R. Sharma — 2002 — in Fourth IEEE International Conference on Multimodal Interfaces (ICMI 2002
  • …This paper presents a framework for designing a natural multimodal human computer interaction (HCI) system. The core of the proposed framework is a principled method for combining information derived from audio and visual cues. To achieve natural interaction, both audio and visual modalities are fus…
  • Cited by 21 (4 self) – Add To MetaCart
  • Autocalibration from tracks of walking people  
  • by Nils Krahnstoever, Paulo R. S. Mendonça — 2006 — in Proc. British Machine Vision Conference (BMVC
  • …It has been shown that under a small number of assumptions, observations of people can be used to obtain metric calibration information of a camera, which is particularly useful for surveillance applications. However, previous work had to exclude the common criticial configuration of the camera’s pr…
  • Cited by 2 (1 self) – Add To MetaCart
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