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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
3D Trajectory Extraction from 2D Videos for Human Activity Analysis

3D Trajectory Extraction from 2D Videos for Human Activity Analysis

Boukhers, Zeyd

Paperback

Series: Studien Zur Mustererkennung, Book 44

General Computers

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ISBN10: 3832545832
ISBN13: 9783832545833
Publisher: Logos Verlag Berlin
Published: Nov 26 2017
Pages: 152
Weight: 1.00
Height: 0.40 Width: 5.60 Depth: 8.04
Language: English
The present dissertation addresses the problem of extracting 3D trajectories of objects from 2D videos. The reason of this is the theory that these trajectories symbolise high-level interpretations of human activities. A 3D trajectory of an object means its sequential positions in the real world over time. To this end, a generic framework for detecting objects and extracting their trajectories is proposed. In simpler terms, it means obtaining the 3D coordinate of the objects detected on the image plane and then tracking them in the real world to extract their 3D trajectories. Lastly, this dissertation presents applications of trajectory analysis to understand human activities in crowded environments. In this context, each phase in the framework represents independent approaches dedicated to solving challenging tasks in computer vision and multimedia.

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