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

Abstract

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.

A distributed scheme for energy-efficient event-based target recognition using Internet of Multimedia Things

“…This technique can reduce image data redundancies and lower the network traffic data while preserving adequate image quality. 26–28 A way to accomplish this method is to use an ROI descriptor at the sensor node to detect whether the image captures an even interest and sends the minimum required data to the end-user. This approach reduces the data transmitted to the sink node; consequently, it preserves the energy of the source sensor and the energy of the other nodes of the network.…”

“…The proposed scheme presents attractive characteristics in energy consumption. Alhilal et al 27 presented a centralized processing scheme based on the centroid distance and histogram as object descriptors. The results showed that their proposed scheme consumes 47.6 mJ for an image size of (64 3 64 pixels 8 bpp) and 80.2 mJ for an image size of (128 3 128 pixels 8 bpp).…”

A Study on Energy Efficiency of a Distributed Processing Scheme for Image-Based Target Recognition for Internet of Multimedia Things

“…One of the potential solutions to this problem would be to process the captured image locally and to communicate only the useful data to the remote-control server through the network. While this approach looks very suitable for the image-based recognition application, it needs a careful effort to design a low-complexity sensing scheme that provides a tradeoff between the accuracy of target recognition and the energy-saving at the source sensor [7,8]. The accuracy of the target recognition in this approach depends basically on the efficiency of the extracted features to ensure a high discrimination level between different objects.…”

Collaboration calibration and three-dimensional localization in multi-view system

“…First, image processing is in general costly to implement in local nodes, because the capabilities of computing are limited in local nodes. 27 Second, the bandwidth resources are also restricted in WMSNs. Thus, there are constraints to transmit a huge amount of visual data generated by cameras to central node or a base station.…”