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Moving Object Detection and Segmentation for Remote Aerial Video Surveillance

By:

Teutsch, Michael [auth]

Material type: Article

ArticleLanguage: English Publication details: KIT Scientific Publishing 2014Description: 1 electronic resource (XI, 215 p. p.)ISBN:

KSP/1000044922
9783731503200

Subject(s):

Online resources:

Summary: Unmanned Aerial Vehicles (UAVs) equipped with video cameras are a flexible support to ensure civil and military safety and security. In this thesis, a video processing chain is presented for moving object detection in aerial video surveillance. A Track-Before-Detect (TBD) algorithm is applied to detect motion that is independent of the camera motion. Novel robust and fast object detection and segmentation approaches improve the baseline TBD and outperform current state-of-the-art methods.

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Item type	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Electronic-Books	OPJGU Sonepat- Campus	E-Books Open Access			Available

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Unmanned Aerial Vehicles (UAVs) equipped with video cameras are a flexible support to ensure civil and military safety and security. In this thesis, a video processing chain is presented for moving object detection in aerial video surveillance. A Track-Before-Detect (TBD) algorithm is applied to detect motion that is independent of the camera motion. Novel robust and fast object detection and segmentation approaches improve the baseline TBD and outperform current state-of-the-art methods.

Creative Commons https://creativecommons.org/licenses/by-sa/4.0/ cc https://creativecommons.org/licenses/by-sa/4.0/

English

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