DNA Genetic Recombination based Image Encryption using Chaotic Maps

Alshibani, Dina Riadh; Shati, Narjis Mezaal; Ahmed, Nada Thanoon

doi:10.5958/0976-5506.2019.01432.3

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Motion Tracking and Feature Extraction1

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2020

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“…For tracking any object, feature extraction plays a significant role. Combined (Harris and Scale Invariant Feature Transform (SIFT)) which is proposed in this system to extract features of objects that reduction of dimensionality and reduce the number of resources needed to describe a large range of data [15][16][17]. Tracking objects detected in frames sequence and matching them is a critical stage of intelligent security systems because of the ability to extract the objects and analyze their behavior [18].…”

Section: Motion Tracking and Feature Extractionmentioning

confidence: 99%

Abnormal activity detection in surveillance video scenes

2020

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Automated detection of abnormal activity assumes a significant task in surveillance applications. This paper presents an intelligent framework video surveillance to detect abnormal human activity in an academic environment that takes into account the security and emergency aspects by focusing on three abnormal activities (falling, boxing and waving). This framework designed to consist of the two essential processes: the first one is a tracking system that can follow targets with identify sets of features to understand human activity and measure descriptive information of each target. The second one is a decision system that can realize if the activity of the target track is "normal" or "abnormal" then energizing alarm when recognized abnormal activities.

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Section: Motion Tracking and Feature Extractionmentioning

confidence: 99%