Gait based Human Identification through Intra-Class Variations

Tun, Khaine Zar Chi; Zaw, Sai Maung Maung

doi:10.1109/icict50816.2021.9358706

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…They either see gait as a single image or as a series of moving pictures. For gait recognition, methods in the first category combine all gait silhouettes into a single image, called a gait template [1], [2], [3], [4], [5], [6], [7]. The compression process leaves out important characteristics like time information and finegrained spatial information, despite the fact that different existing gait templates [5, [6,] [7] encode information as abundantly as feasible.…”

Section: Introductionmentioning

confidence: 99%

GAIT Technology for Human Recognition using CNN

Macwan,

Shah

2023

IJRITCC

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Gait is a distinctive biometric characteristic that can be detected from a distance; as a result, it has several uses in social security, forensic identification, and crime prevention. Existing gait identification techniques use a gait template, which makes it difficult to keep temporal information, or a gait sequence, which maintains pointless sequential limitations and loses the ability to portray a gait. Our technique, which is based on this deep set viewpoint, is immune to frame permutations and can seamlessly combine frames from many videos that were taken in various contexts, such as diversified watching, angles, various outfits, or various situations for transporting something. According to experiments, our single-model strategy obtains an average rank-1 accuracy of 96.1% on the CASIA-B gait dataset and an accuracy of 87.9% on the OU-MVLP gait dataset when used under typical walking conditions. Our model also demonstrates a great degree of robustness under numerous challenging circumstances. When carrying bags and wearing a coat while walking, it obtains accuracy on the CASIA-B of 90.8% and 70.3%, respectively, greatly surpassing the best approach currently in use. Additionally, the suggested method achieves a satisfactory level of accuracy even when there are few frames available in the test samples; for instance, it achieves 85.0% on the CASIA-B even with only 7 frames.

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Section: Introductionmentioning

confidence: 99%

GAIT Technology for Human Recognition using CNN

Macwan,

Shah

2023

IJRITCC

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“…Its performance was evaluated against that of other machine learning-based classi ers. [7] A discriminative projection and a new gait quality, GII, were jointly estimated for cross-view gait identi cation. The use of the cosine parallel dimension allows GII to be launched in agreement with minor analytical variations.…”

Section: Introductionmentioning

confidence: 99%

Human Monitoring Scanner Using GAIT

Macwan

Shah

2022

Preprint

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Biometric system is useful to identify person. Biometric systems are rising and generally used technology. Because of this generalization today many protected systems are taking advantage of biometric systems. And one of these newest research areas of biometric systems is gait analysis systems. Numerous locations, including banks, airports, courtrooms for criminal proceedings, and security reasons, require the biometric technology. We can recognize a person by their fingerprints, handprints, eyes (retina), and face with the use of a biometric system . The issue of walking behavior is addressed through the use of gait technology. In security and video surveillance applications, gait identification is crucial. A person's lack of walking style may be resolved by reorganizing the gait. Gait biometric skill recognizes a individual by the walking pattern. Gait study investigates human body parts to find personal features for human recognition. Gait technology recognizes person walking pattern for individual detection. When person identification ratio matches up to 60% to 70% in order to that here Re-identification is solution. Several studies on this study area are examined during the survey.

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Gait based Human Identification through Intra-Class Variations

Cited by 2 publications

References 8 publications

GAIT Technology for Human Recognition using CNN

GAIT Technology for Human Recognition using CNN

Human Monitoring Scanner Using GAIT

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