Dataset for Human Recognition under Multi-Gait Scenario
| Main Author: | Singh, Jasvinder Pal |
|---|---|
| Other Authors: | Jain, Sanjeev, Arora, Sakshi, Singh, Uday Pratap |
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2019
|
| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/py4zw6g7xc |
| ctrlnum |
0.17632-py4zw6g7xc.2 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc><creator>Singh, Jasvinder Pal</creator><title>Dataset for Human Recognition under Multi-Gait Scenario</title><publisher>Mendeley</publisher><description>Previous research in gait recognition and available dataset focused on single subjects. But in real time environment (such as airport, metro stations etc.) more than one person walk in a group and occlusion factors affects the performance of gait recognition. Therefore, we presented a new dataset which focused dynamic occlusion scenario. We constructed two categories of gait dataset i.e. first, subjects walk in a group (SMVDU-Multi-Gait) and second, subjects walk separately (SMVDU-Single-Gait). The purpose of this dataset to analyze the variations in gait patterns when same subject walk in a group or individually and also to recognize the target subject in Multi-Gait.</description><subject>Biometrics</subject><subject>Gait</subject><contributor>Jain, Sanjeev</contributor><contributor>Arora, Sakshi</contributor><contributor>Singh, Uday Pratap </contributor><type>Other:Dataset</type><identifier>10.17632/py4zw6g7xc.2</identifier><rights>Attribution-NonCommercial 3.0 Unported</rights><rights>https://creativecommons.org/licenses/by-nc/3.0</rights><relation>https:/data.mendeley.com/datasets/py4zw6g7xc</relation><date>2019-06-06T06:13:23Z</date><recordID>0.17632-py4zw6g7xc.2</recordID></dc>
|
| format |
Other:Dataset Other |
| author |
Singh, Jasvinder Pal |
| author2 |
Jain, Sanjeev Arora, Sakshi Singh, Uday Pratap |
| title |
Dataset for Human Recognition under Multi-Gait Scenario |
| publisher |
Mendeley |
| publishDate |
2019 |
| topic |
Biometrics Gait |
| url |
https:/data.mendeley.com/datasets/py4zw6g7xc |
| contents |
Previous research in gait recognition and available dataset focused on single subjects. But in real time environment (such as airport, metro stations etc.) more than one person walk in a group and occlusion factors affects the performance of gait recognition. Therefore, we presented a new dataset which focused dynamic occlusion scenario. We constructed two categories of gait dataset i.e. first, subjects walk in a group (SMVDU-Multi-Gait) and second, subjects walk separately (SMVDU-Single-Gait). The purpose of this dataset to analyze the variations in gait patterns when same subject walk in a group or individually and also to recognize the target subject in Multi-Gait. |
| id |
IOS7969.0.17632-py4zw6g7xc.2 |
| institution |
Universitas Islam Indragiri |
| affiliation |
onesearch.perpusnas.go.id |
| institution_id |
804 |
| institution_type |
library:university library |
| library |
Teknologi Pangan UNISI |
| library_id |
2816 |
| collection |
Artikel mulono |
| repository_id |
7969 |
| city |
INDRAGIRI HILIR |
| province |
RIAU |
| shared_to_ipusnas_str |
1 |
| repoId |
IOS7969 |
| first_indexed |
2020-04-08T08:13:17Z |
| last_indexed |
2020-04-08T08:13:17Z |
| recordtype |
dc |
| _version_ |
1686587399314866176 |
| score |
17.538404 |