A Framework for Intelligent Video Surveillance

Ekpar, Frank Edughom

doi:10.1109/cit.2008.workshops.112

Cited by 8 publications

(6 citation statements)

References 13 publications

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“…In the intelligent video surveillance research, the progress of intelligent video analysis is carried out mostly at the control center. However, this makes that the system integrates video data difficultly, and increases the computation which impacts the real-time process capability of the whole system [3]. Considering the above problems, this paper designs an embedded terminal for intelligent video surveillance based on DSP to solve the problems in the distributed intelligent surveillance system.…”

Section: Introductionmentioning

confidence: 94%

A Design of Embedded Terminal for Intelligent Transportation Video Surveillance System

Wang

Tang

et al. 2009

2009 2nd International Congress on Image and Signal Processing

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A mass of video data is processed at the control center in most video surveillance systems, this brings some difficulty in data integration and real-time computation. In this paper we present a hierarchical structure of two-tier processing. The camera is designed as a DSP-based terminal system, there will run algorithms to analysis video data to get the feature of moving object. Then the feature data is processed in monitoring center further. The hardware core of embedded terminal is TMS320DM642 chip, we describe the video processing algorithms and the software modules in embedded terminal. This hierarchical design is provided for improving real-time performance and reliability of video data processing., Further more, it could be easier to intellectualize video surveillance system.

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Section: Introductionmentioning

confidence: 94%

A Design of Embedded Terminal for Intelligent Transportation Video Surveillance System

Wang

Tang

et al. 2009

2009 2nd International Congress on Image and Signal Processing

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“…The novel system for processing user interfaces designed by Ekpar [6] could employ the concepts described here to enhance usability and improve the user experience. Furthermore, Ekpar [7] introduced a robust framework for enhancing navigation, surveillance, telepresence, and interactivity that can benefit from the special effect composition algorithms and systems of this paper.…”

Section: Selected Applicationsmentioning

confidence: 99%

Novel System for Composing High Impact Special Effects

Ekpar

2022

EJECE

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This paper presents a novel system for creating and managing high impact special effects by composing one or more elemental and/or composite special effects into one or more composite special effects wherein said composition is carried out on the basis of rules specifying the number, relative positions, relative durations and/or other relevant attributes/behaviors of the individual elemental special effects and/or any other attributes/behaviors required to support a desired level of creativity and flexibility. According to the principles disclosed in this paper, the composition of elemental special effects can be realized in a N-dimensional environment permitting composition in a non-linear fashion.

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“…Professor Tang from Hong Kong University has designed one eight-camera framework achieving smooth wide field video by the correspondence computed by the camera intrinsic parameters and manual selected points [2] P ; By using a cluster of cameras mounted on a framework, a wide field-of-view can be obtained [3], [4] P.…”

Section: Introductionmentioning

confidence: 99%

Video Stitch Algorithm Based on Dynamic Foreground Extraction

Zhang

Jia

Liu

2009

2009 2nd International Congress on Image and Signal Processing

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A new video stitch algorithm based on dynamic foreground extraction is proposed in this paper. The algorithm is found on static image mosaic. To solve the problem caused by the moving objects in the videos, the background images are extracted. Using the featured-based method to get the transformation matrix between the background images, a wide background video is stitched up. This method greatly improves the efficiency of the algorithm. Besides, the moving foreground objects are extracted and the comparability between objects in the overlap area of different videos is computed to decide whether they are the same object and which to be reserved in the wide background video. As a result, the ghost is removed. Experimental results show that it is a highly-matched and robust video stitch algorithm, and can basically achieve real-time stitch.

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A Framework for Intelligent Video Surveillance

Cited by 8 publications

References 13 publications

A Design of Embedded Terminal for Intelligent Transportation Video Surveillance System

A Design of Embedded Terminal for Intelligent Transportation Video Surveillance System

Novel System for Composing High Impact Special Effects

Video Stitch Algorithm Based on Dynamic Foreground Extraction

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