Analysis of Gait Pattern to Recognize the Human Activities
Autor:
Prakash Gupta, Jay
; Dixit, Pushkar
; Singh, Nishant
; Bhaskar Aemwal, Vijay
Fecha:
09/2014Palabra clave:
Revista / editorial:
International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)Tipo de Ítem:
articleDirección web:
https://www.ijimai.org/journal/node/670Resumen:
Human activity recognition based on the computer vision is the process of labelling image sequences with action labels. Accurate systems for this problem are applied in areas such as visual surveillance, human computer interaction and video retrieval. The challenges are due to variations in motion, recording settings and gait differences. Here we propose an approach to recognize the human activities through gait. Activity recognition through Gait is the process of identifying an activity by the manner in which they walk. The identification of human activities in a video, such as a person is walking, running, jumping, jogging etc are important activities in video surveillance. We contribute the use of Model based approach for activity recognition with the help of movement of legs only. Experimental results suggest that our method are able to recognize the human activities with a good accuracy rate and robust to shadows present in the videos
Ficheros en el ítem
Este ítem aparece en la(s) siguiente(s) colección(es)
Estadísticas de uso
Año |
2012 |
2013 |
2014 |
2015 |
2016 |
2017 |
2018 |
2019 |
2020 |
2021 |
2022 |
2023 |
2024 |
Vistas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
117 |
32 |
43 |
47 |
62 |
Descargas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
105 |
17 |
34 |
25 |
23 |
Ítems relacionados
Mostrando ítems relacionados por Título, autor o materia.
-
Infected Fruit Part Detection using K-Means Clustering Segmentation Technique
Dubey, Shiv Ram; Dixit, Pushkar; Singh, Nishant; Gupta, Jay Prakash (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2013)Nowadays, overseas commerce has increased drastically in many countries. Plenty fruits are imported from the other nations such as oranges, apples etc. Manual identification of defected fruit is very time consuming. This ... -
Robust Lossless Semi Fragile Information Protection in Images
Dixit, Pushkar; Singh, Nishant; Prakash Gupta, Jay (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2014)Internet security finds it difficult to keep the information secure and to maintain the integrity of the data. Sending messages over the internet secretly is one of the major tasks as it is widely used for passing the ... -
Accurate location estimation of moving object In Wireless Sensor network
Bhaskar Semwal, Vijay; Bhaskar Semwal, Vinay; Sati, Meenakshi; Verma, Dr.Shirshu (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2011)One of the central issues in wirless sensor networks is track the location, of moving object which have overhead of saving data, an accurate estimation of the target location of object with energy constraint .We do not ...