An improved target tracking algorithm and its application in intelligent video surveillance system

Zhang, Nana; Wu, Chunxue; Wu, Yunpeng; Xiong, Naixue

doi:10.1007/s11042-018-6871-y

Cited by 7 publications

(2 citation statements)

References 25 publications

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“…e integration of blockchain and MEC to solve the corresponding practical problems is currently a hot spot for many scholars, which is a very promising development direction [12,[16][17][18][19]. On the one hand, MEC nodes in network edge can provide a low-latency, much more convenient and distributed computing offloading scheme for smart mobile devices with only limited resources.…”

Section: Related Workmentioning

confidence: 99%

Blockchain-Enabled Intelligent Video Caching and Transcoding in Clustered MEC Networks

Wan

2021

Security and Communication Networks

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In recent years, the number of smart devices has exploded, leading to an unprecedented increase in demand for video live and video-on-demand (VoD) services. Also, the privacy of video providers and requesters and the security of requested video data are much more threatened. In order to solve these issues, in this paper, a blockchain-enabled CMEC video transmission model (Bl-CMEC) for intelligent video caching and transcoding will be proposed to ensure the transactions’ transparency, system security, user information privacy, and integrity of the video data, enhance the ability of severs in actively caching popular video content in the CMEC system, and realize transcoding function at network edge nodes. Furthermore, we chose a scheme based on deep reinforcement learning (DRL) to intelligently access the intracluster joint caching and transcoding decisions. Then, the joint video caching and transcoding decision smart contract is specially designed to automatically manage the transaction process of the joint caching and transcoding service, which records key information of joint caching and transcoding transactions and payment information on a continuous blockchain. The simulation results demonstrate that the proposed Bl-CMEC framework not only can provide users with better QoE performance for video streaming service but also can ensure the security, integrity, and consistency for the video providers, video requesters, and video data.

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Section: Related Workmentioning

confidence: 99%

Blockchain-Enabled Intelligent Video Caching and Transcoding in Clustered MEC Networks

Wan

2021

Security and Communication Networks

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“…The proposed adaptive structure uses the reflected interference to design OFDM signal. Improved Kalman particle filtering algorithms were proposed in [10,11] for target tracking and target estimation. The proposed Kalman filter-based method could optimize the transmission waveform directly and improve the radar estimation performance.…”

mentioning

confidence: 99%

Adaptable waveform design for radar and jammer for multi-target using game theoretic strategies

Xin

Wang

Sun

et al. 2022

EURASIP J. Adv. Signal Process.

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In the environment of electronic warfare, the countermeasure between radar and jammer has become a hot issue. Finding the solution to optimal waveforms between them is very great significance. Aiming at the problem of multi-target detection in clutter environment, the authors propose the waveform optimization method based on signal-to-interference-plus-noise ratio (SINR) criterion for radar and jammer, respectively. When radar is the dominant player, the maxmin strategy is used to establish the optimization model to optimize the radar transmission waveform. When jammer is the dominant player, the minmax strategy is used to establish the optimization model to optimize the jammer waveform. When dealing with random multi-target, the authors also propose an adaptive weight method to solve the problem of summation of weighted multiple targets. Then, an improved method combined with Jensen’s inequality for radar and jammer is proposed, respectively, which could improve the detection performance of the radar system and reduce the computational complexity of maximum SINR-based method. The simulation results show that the proposed maximum SINR-based methods could adaptively allocate the transmission energy to improve the performance of the radar. The energy allocation of radar and jammer is slightly different under maxmin strategy and minmax strategy. The proposed improved methods could output the higher SINR than the maximum SINR-based methods. Both of the proposed methods could improve the performance of radar detecting targets.

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SiamSYB: simple yet better methods to enhance Siamese tracking

Wei

et al. 2022

Multimed Tools Appl

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An improved target tracking algorithm and its application in intelligent video surveillance system

Cited by 7 publications

References 25 publications

Blockchain-Enabled Intelligent Video Caching and Transcoding in Clustered MEC Networks

Blockchain-Enabled Intelligent Video Caching and Transcoding in Clustered MEC Networks

Adaptable waveform design for radar and jammer for multi-target using game theoretic strategies

SiamSYB: simple yet better methods to enhance Siamese tracking

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