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Moving Multi-Object Detection and Tracking Using MRNN and PS-KM Models

Computer Systems Science & Engineering 2023年第2期44卷 1807-1821页

作者： v.premanand Dhananjay Kumar Department of Information Technology Anna UniversityMIT CampusChennai600044India

On grounds of the advent of real-time applications,like autonomous driving,visual surveillance,and sports analysis,there is an augmenting focus of attention towards Multiple-Object Tracking(MOT).The tracking-by-detection paradigm,a commonly utilized approach,connects the existing recognition hypotheses to the formerly assessed object trajectories by comparing the simila-rities of the appearance or the motion between *** an efﬁcient detection and tracking of the numerous objects in a complex environment,a Pearson Simi-larity-centred Kuhn-Munkres(PS-KM)algorithm was proposed in the present *** this light,the input videos were,initially,gathered from the MOT dataset and converted into *** background subtraction occurred whichﬁltered the inappropriate data concerning the frames after the frame conversion ***,the extraction of features from the frames was ***,the higher dimensional features were transformed into lower-dimensional features,and feature reduction process was performed with the aid of Information Gain-centred Singular value Decomposition(IG-SvD).Next,using the Modiﬁed Recurrent Neural Network(MRNN)method,classiﬁcation was executed which identiﬁed the categories of the objects *** PS-KM algorithm identi-ﬁed that the recognized objects were ***,the experimental outcomes exhibited that numerous targets were precisely tracked by the proposed system with 97%accuracy with a low false positive rate(FPR)of 2.3%.It was also proved that the present techniques ***,CNN,and KNN,were effective with regard to the existing models.

关键词： Multi-object detection object tracking feature extraction morlet wavelet mutation(MWM) ant lion optimization(ALO) background subtraction

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variations in Swells along Eastern Arabian Sea during the Summer Monsoon

引用

Open Journal of Marine Science 2012年第2期2卷 43-50页

作者： Glejin Johnson v. Sanil Kumar Sajiv Philip Chempalayil Jai Singh premanand Pednekar K. Ashok Kumar G. Udhaba Dora Rajamanickam Gowthaman Ocean Engineering CSIR-National Institute of Oceanography (Council of Scientific & Industrial Research) Dona Paula India

A study was carried out to find the variation in wave characteristics along the eastern Arabian Sea and the influence of swells in the nearshore waves at 3 locations during summer monsoon in 2010. Percentage of swells in the measured waves was 75% to 79% at the locations with higher percentage of swells in the northern portion of Arabian Sea com-pared to that at the southern side. The significant wave height up to 4.7 m and maximum wave height up to 7.4 m was observed. The wave height was increasing from south to north with the average significant wave height at the northern location 20% more than that at the southern location due to the increase in the swell height. Waves having spectral peak period less than 6 s were not present during the summer monsoon period. There was no change in the average value of wave statistical parameters for data collected at 1/2, 3, 6, 12 and 24 h interval.

关键词： Seas Swells Wind Waves Arabian Sea Mixed Sea State Wave Spectrum

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