Object-Detection-Based Video Compression for Wireless Surveillance Systems

Kong, Lingchao; Dai, Rui

doi:10.1109/mmul.2017.265092027

Cited by 11 publications

(15 citation statements)

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“…If a link (m, n) is on the selected path p from nodes u to v, the link is marked with the decision variable y u (m, n), which can be used to assess the number of paths passing through the link, to calculate aggregated traffic load and transmission delay. Constraint (4) states that if a link (m, n) is on a path p, the link is used by a node u.…”

Section: ) Offloading Assignment Constraintsmentioning

confidence: 99%

“…Previously, sensors could only complete tasks with simple data processing or return raw data to the sink node [1], whereas they are now capable of performing highly complex tasks, such as handling complex and massive data processes, because of novel artificial intelligence (AI) chips [2], [3]. Despite assistance from AI chips, IoT devices remain reliant on machines with high-power computing capacities, such as cloudlet or core cloud capability, for the processing of high quality multimedia data [4].…”

Section: Introductionmentioning

confidence: 99%

“…Several IoT applications-such as the smart city, health care, and campus safety-involve video surveillance, which is employed to detect incidents of interest [4], [8], [10]- [13]. The main concept of video surveillance is to apply data analytic methods to real-time data, including videos obtained using IoT cameras distributed across a city or campus [14].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimization-Based Offloading and Routing Strategies for Sensor-Enabled Video Surveillance Networks

et al. 2020

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For the Internet of things, having sensors in devices used for video surveillance services, such as cameras, is crucial. The advancement of edge computing technology has enabled high computing capacity and the handling of massive data sets. The concept of cloudlets is employed in edge computing for in-network processing, especially for large-size multimedia data processing. Cloudlets are essential for services with high computing costs. Contrary to traditional cloud computing, data can be offloaded to in-network devices and core clouds, thereby improving the quality of service and enhancing resource utilization. However, the trade-off between network transmissions and nodal processes with delay-aware multimedia traffic has been demonstrated to be an NP-complete problem. The problem is presented as a mathematical formula to maximize the minimal delay gap between the tolerable event delay, sending time, and processing time. The problem is subject to in-network processing node assignment, routing paths, transmission capacities, computing capacities, and the effective service period. The Lagrangian approach was employed to evaluate the method proposed in this study; a near-optimal solution was obtained, and several experiments were performed to demonstrate that the proposed method outperforms existing methods.

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Section: ) Offloading Assignment Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimization-Based Offloading and Routing Strategies for Sensor-Enabled Video Surveillance Networks

et al. 2020

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“…Motion detection algorithm is used with some alarming features in for monitoring system. According to in [24], the surveillance system incorporates five phases that is object tracking, object detection, understanding and description of behaviours, object classification and human identification. However, the main challenge is to send the commands from software to turn ON/OFF [11]…”

Section: Image Processing For Human Detectionmentioning

confidence: 99%

Intelligent Home Automation System for Disabled People

Husni,

Faisal,

Ker

et al. 2019

IJEAT

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This paper presents the intelligent Home Automation System (HAS) for disabled people, since still now facilities for disabled people are insufficient around the world. Numerous researchers developed different technologies considering Bluetooth technology, ZigBee system, and Wifi technology. However, these topologies lack efficient support for disabled people. Therefore, to engage the disabled people with the modern technology and make their life safe, secure and comfortable, authors have introduced the Rasberry Pi 3 Model B with Blynk application which is able to control the home appliances from their smart android phone. In this research, the motion of the intruder has been considered as the key parameters and HOG method is used to detect the motion. Experimental validation of the proposed model implies that this process is more secure and user-friendly for disabled people compare to other existing technology. Therefore, the main contribution of this research is to develop a secured automated system, which will enable the disabled people to control the home appliances and thus overcome the limitation of the existing technology

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“…In [ 29 ], a saliency-based rate control scheme was proposed for human detection with a single camera. A standard-compliant video encoding scheme was proposed to obtain better object detection performance on compressed video [ 30 ]. In [ 31 , 32 ], the effect of quantization parameter (QP) and transmission conditions on human detection were considered to optimize the performance of human detection in server.…”

Section: Introductionmentioning

confidence: 99%

Joint Source and Channel Rate Allocation over Noisy Channels in a Vehicle Tracking Multimedia Internet of Things System

Mei

Liu

et al. 2018

Sensors

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As an emerging type of Internet of Things (IoT), multimedia IoT (MIoT) has been widely used in the domains of healthcare, smart buildings/homes, transportation and surveillance. In the mobile surveillance system for vehicle tracking, multiple mobile camera nodes capture and upload videos to a cloud server to track the target. Due to the random distribution and mobility of camera nodes, wireless networks are chosen for video transmission. However, the tracking precision can be decreased because of degradation of video quality caused by limited wireless transmission resources and transmission errors. In this paper, we propose a joint source and channel rate allocation scheme to optimize the performance of vehicle tracking in cloud servers. The proposed scheme considers the video content features that impact tracking precision for optimal rate allocation. To improve the reliability of data transmission and the real-time video communication, forward error correction is adopted in the application layer. Extensive experiments are conducted on videos from the Object Tracking Benchmark using the H.264/AVC standard and a kernelized correlation filter tracking scheme. The results show that the proposed scheme can allocate rates efficiently and provide high quality tracking service under the total transmission rate constraints.

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Object-Detection-Based Video Compression for Wireless Surveillance Systems

Cited by 11 publications

References 0 publications

Optimization-Based Offloading and Routing Strategies for Sensor-Enabled Video Surveillance Networks

Optimization-Based Offloading and Routing Strategies for Sensor-Enabled Video Surveillance Networks

Intelligent Home Automation System for Disabled People

Joint Source and Channel Rate Allocation over Noisy Channels in a Vehicle Tracking Multimedia Internet of Things System

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