NDLI: Detection of behavioural pattern through human-gait image using soft-computing technique

Content Provider	IEEE Xplore Digital Library
Author	Patra, R.K. Sinha, T.S. Dubey, R.P.
Copyright Year	2015
Description	Author affiliation: Inst. of Eng., Dr. C.V. Raman Univ., Bilaspur, India (Dubey, R.P.) \|\| ITMUR-Sch. of Eng. & Res., ITM Univ., Raipur, India (Sinha, T.S.) \|\| Comput. Sci. & Eng., Dr. C.V. Raman Univ., Bilaspur, India (Patra, R.K.)
Abstract	In the recent times, it has been observed that most of the biometrical research work has been carried out either using template-based or knowledge-based approach. In the present paper, behavioural patterns have been determined through human-gait image through knowledge-based modelling using soft-computing technique. Very little amount of work has been carried out with knowledge-based or model-based approach using soft-computing tools like artificial neural network, fuzzy set theory and genetic algorithm. In the present work, soft-computing technique has been applied for the detection of behavioural patterns like: normal behaviour and abnormal behaviour. The work has been carried out in two phases. In the first phase, a knowledge-based model called artificial noise-free human-gait model (ANFHGM) has been formed. The model has been formed by considering an input human-gait image that has been enhanced and compressed for the removal of distortion with loss-less information. Later on it has been segmented using the mechanism for the detection of the region of interest along with object of interest. Hence the relevant geometric features have been extracted and stored in the form of a corpus. In the second phase, ANFHGM has been utilised for the determination of behavioural patterns with a test human-gait image. The process has been done by considering an unknown human-gait image for the detection of normal and abnormal behaviour patterns of the subject. For this an algorithm, known as BPDSC (Behavioural pattern detection using soft-computing) has been proposed in the present paper. The algorithm has been tested with 15 subjects of varying ages on a flat and plain surface. The result has been found very satisfactory with the tested data sets.
Starting Page	1
Ending Page	6
File Size	538890
Page Count	6
File Format	PDF
ISBN	9781479976768
e-ISBN	9781479976782
DOI	10.1109/EESCO.2015.7253750
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-24
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Legged locomotion Discrete parameter wavelet transform Neurons Fuzzy-set theory Artificial neural networks Normal behaviour Genetic algorithms Image segmentation Abnormal behaviour Genetic algorithm Feature extraction Artificial neural network Mathematical model
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Feature selection for gait recognition

Gait recognition based on lower limb

Document image segmentation using fuzzy classifier and the dual-tree DWT

Gait recognition for randomwalking patterns and variable body postures

Feature extraction based on a fuzzy complementary criterion for gait recognition using GRF signals

Image segmentation in wavelet domain using fuzzy logic

Fuzzy c-means clustering algorithm for quality inspection of fruits based on image sensors data

Extraction of features using M-band wavelet packet frame and their neuro-fuzzy evaluation for multitexture segmentation

Image recognition based on wavelet transform and artificial neural networks

Detection of behavioural pattern through human-gait image using soft-computing technique

Similar Documents

Feature selection for gait recognition

Gait recognition based on lower limb

Document image segmentation using fuzzy classifier and the dual-tree DWT

Gait recognition for randomwalking patterns and variable body postures

Feature extraction based on a fuzzy complementary criterion for gait recognition using GRF signals

Image segmentation in wavelet domain using fuzzy logic

Fuzzy c-means clustering algorithm for quality inspection of fruits based on image sensors data

Extraction of features using M-band wavelet packet frame and their neuro-fuzzy evaluation for multitexture segmentation

Image recognition based on wavelet transform and artificial neural networks

Detection of behavioural pattern through human-gait image using soft-computing technique