Object Detection and Tracking in Secured Area with Wireless and Multimedia Sensor Network

Vasuhi, S.; Fathima, A. Annis; Shanmugam, Srinivasan; Vaidehi, V.

doi:10.1007/978-3-642-30567-2_30

Cited by 7 publications

(7 citation statements)

References 9 publications

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“…In [16] S. Vasuhi et al presented a new method for object detection and tracking for multiple objects in WMSN. They used for object detection the following steps: background techniques, Haar Wavelet for the feature extraction method and the joint boosting algorithm for the classification.…”

Section: Related Work and Motivationmentioning

confidence: 99%

A Shape-Based Object Identification Scheme in Wireless Multimedia Sensor Networks

Alhilal

Soudani

Al-Dhelaan

2015

Advances in Intelligent Systems and Computing

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Abstract. Multimedia communication is highly attractive in Wireless MultimediaSensor Networks (WMSN) due to their wealth of information's. However, the transmission of multimedia information such as image and video requires a specific scheme and an efficient communication protocol. In fact, the performances of multimedia based applications on WMSN are highly dependent on the capabilities of the designer to provide low-power data processing and energy-aware communication protocols. This chapter presents a contribution to the design of low complexity scheme for object identification using Wireless Multimedia Sensor Networks. The main idea behind the design of this scheme is to avoid useless multimedia data streaming on the network. In depth, it ensures the detection of the specific event (target) before sending image to notify the end user. The chapter discusses the capabilities of the proposed scheme to identify a target and to achieve low-power processing at the source mote while unloading the network. The power consumption and the time processing of this scheme were estimated for MICA2 and MICAZ motes and showed that it outperforms other methods for communication in WMSN such as the methods based on image compression.

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Section: Related Work and Motivationmentioning

confidence: 99%

A Shape-Based Object Identification Scheme in Wireless Multimedia Sensor Networks

Alhilal

Soudani

Al-Dhelaan

2015

Advances in Intelligent Systems and Computing

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“…Background Subtraction (BS) is the general name of the most popular foreground extraction methods that are used for moving object detection in video streams. BS is widely used in surveillance applications in order to distinguish the foreground objects from the background model before performing further tasks such as classification, localization or tracking 5 8 BS process requires keeping a model of the background and using this model in order to extract the foreground pixels from the video frame as shown in Figure 1.…”

Section: Object Extraction and Classificationmentioning

confidence: 99%

Object Extraction and Classification in Video Surveillance Applications

Civelek¹,

Yazıcı

2016

European Review

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In this paper we review a number of methods used in video surveillance applications in order to detect and classify threats. Moreover, the use of those methods in wireless surveillance networks contributes to decreasing the energy consumption of the devices because it reduces the amount of information transferred through the network. In this paper we focus on the most popular object extraction and classification methods that are used in both wired and wireless surveillance applications. We also develop an application for identification of objects from video data by implementing the selected methods and demonstrate the performance of these methods on pre-recorded videos using the outputs of this application.

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“…In [10] Vasuhi et al presented a new method for object detection and tracking for multiple objects in WMSN. They used for object detection the following steps: While this method looks to be very interesting, the authors did not addressed the complexity and the power consumption of this scheme in the context of WMSN to prove the adequacy to the constraints of these systems.…”

Section: Related Work and Motivationmentioning

confidence: 99%

“…This method seems to be very useful in the context of WMSN and might fit well with the requirement of our application for object identification. In [10] Vasuhi et al presented a new method for object detection and tracking for multiple objects in WMSN. They used for object detection the following steps:…”

Section: Related Work and Motivationmentioning

confidence: 99%

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Image-Based Object Identification for Efficient Event-Driven Sensing in Wireless Multimedia Sensor Networks

Alhilal

Soudani

Al-Dhelaan

2015

International Journal of Distributed Sensor Networks

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Applications based on video and image in wireless sensor network are highly attractive due to their wealth of information. In this context, application for object recognition and tracking using image and video information is one the attractive approaches that can be applied for event detection and localization, security processes, following of the rare animal species and control of road traffic, and so forth. However, the implementation of such approach with WMSN requires a specific image processing scheme and efficient transmission protocol. In fact, because of the limited energy of the batteries embedded in motes, the power consumption is the major constraint facing network life time and reliability in WMSN. The efficiency and the validity of these multimedia applications over wireless sensor networks are then dependent on the capabilities of the designer to provide low-power scheme for data processing and energy-aware transmission protocols. This paper presents a contribution to the design of low complexity scheme based on object identification for efficient sensing of multimedia information in wireless multimedia sensor networks. It proposes a new solution and explores the associated performances of this scheme. The presented results in this paper attest the high efficiency to achieve low-power objects identification when implemented in wireless motes.

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Object Detection and Tracking in Secured Area with Wireless and Multimedia Sensor Network

Cited by 7 publications

References 9 publications

A Shape-Based Object Identification Scheme in Wireless Multimedia Sensor Networks

A Shape-Based Object Identification Scheme in Wireless Multimedia Sensor Networks

Object Extraction and Classification in Video Surveillance Applications

Image-Based Object Identification for Efficient Event-Driven Sensing in Wireless Multimedia Sensor Networks

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