PTZ camera based position tracking in IP-surveillance system

Yang, Chu-Sing; Chen, Ren-Hao; Lee, Chao‐Yang; Lin, Shou-Jen

doi:10.1109/icsenst.2008.4757089

Cited by 22 publications

(3 citation statements)

References 14 publications

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“…There have been numerous attempts to control camera movement by running face tracking algorithms onto current video frames and, thus, directing camera movement towards the detected object [11]. One of the drawbacks of these attempts is that the tutor needs to maintain a constant frontal line of view with the camera in order for correct face recognition.…”

Section: Context-aware Camera Controlmentioning

confidence: 99%

Bridging the Gap between Virtual and Physical Classrooms to Enhance Distance Learning Experience

Goumopoulos

Kokkos

Karachristos

et al. 2015

2015 International Conference on Intelligent Environments

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In this paper we report on our current research and development work that aims to apply pervasive computing and context-aware technologies to enhance the teaching and learning experience in distance education environments. In order to achieve this goal we move from the 2-D user interfaces found in virtual class management systems to the ubiquitous 3-D environment of the classroom. A smart classroom prototype is presented which provides the necessary mechanisms for building context-aware services to enrich distance learning experience. The fusion of location tracking with activity recognition mechanisms allows to control the liveliness of the video stream transmitted to remote students in order to reduce the gap between physical and virtual classrooms.

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Section: Context-aware Camera Controlmentioning

confidence: 99%

Bridging the Gap between Virtual and Physical Classrooms to Enhance Distance Learning Experience

Goumopoulos

Kokkos

Karachristos

et al. 2015

2015 International Conference on Intelligent Environments

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“…The usage of active cameras for tracking applications is described in [11][12][13][14], but these mainly focus on the algorithm itself, rather than on creating an actual embedded smart sensor, as in the case of the work presented in this paper. To the best of the authors' knowledge, only the work in [15] has implemented a tracking algorithm [16] to control an active camera on an embedded device, namely an FPGA.…”

Section: Related Workmentioning

confidence: 99%

DSP Embedded Smart Surveillance Sensor with Robust SWAD-Based Tracker

Caterina

Hunter

Soraghan

2012

Advanced Concepts for Intelligent Vision Systems

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Abstract. Smart video analytics algorithms can be embedded within surveillance sensors for fast in-camera processing. This paper presents a DSP embedded video analytics system for object and people tracking, using a PTZ camera. The tracking algorithm is based on adaptive template matching and it employs a novel Sum of Weighted Absolute Differences. The video analytics is implemented on the DSP board DM6437 EVM and it automatically controls the PTZ camera, to keep the target central to the field of view. The EVM is connected to the network and the tracking algorithm can be remotely activated, so that the PTZ enhanced with the DSP embedded video analytics becomes a smart surveillance sensor. The system runs in real-time and simulation results demonstrate that the described SWAD outperforms other template matching measures in terms of efficiency and accuracy.

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“…Genetic algorithms are used as a tool which lets to put in order a chaotic (random) objects collection [4]. And this algorithm help the system to mark or label object on each frame.…”

Section: A Genetic Algorithm For Motion Detectionmentioning

confidence: 99%

The Application of Genetic Algorithm in Motion Detection for Data Storage Optimization

Butil¹,

Magsisi²,

Pua³

et al. 2014

IJCCE

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Abstract-The study focuses on detecting motion and capable of emitting insignificant parts of video from the captured frames from IP Camera and enhancing available data storage. This study embarks a system that is capable of minimizing the video in terms of eliminating frames which can't be used or are any of value to maximize the data storage available. Using the experimental method of research, the researchers evaluated the system based on the result of the experiments with regards to the scope and limitation of the problem and they assessed the accuracy of the system as highly acceptable. Implementing genetic algorithm helps the system to accurately detect motion and therefore optimize the data storage.

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PTZ camera based position tracking in IP-surveillance system

Cited by 22 publications

References 14 publications

Bridging the Gap between Virtual and Physical Classrooms to Enhance Distance Learning Experience

Bridging the Gap between Virtual and Physical Classrooms to Enhance Distance Learning Experience

DSP Embedded Smart Surveillance Sensor with Robust SWAD-Based Tracker

The Application of Genetic Algorithm in Motion Detection for Data Storage Optimization

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