Real-time accumulative computation motion detectors
The neurally inspired accumulative computation (AC) method and its application to motion detection have been introduced in the past years. This paper revisits the fact that many researchers have explored the relationship between neural networks and finite state machines. Indeed, finite state machine...
| Authors: | ; ; ; |
|---|---|
| Format: | Article |
| Publication date: | 2009 |
| Country: | España |
| Institution: | Universidad de Castilla-La Mancha |
| Repository: | RUIdeRA. Repositorio Institucional de la UCLM |
| OAI Identifier: | oai:ruidera.uclm.es:10578/2126 |
| Online Access: | http://hdl.handle.net/10578/2126 |
| Access Level: | Open access |
| Keyword: | Ingenierías |
| _version_ | 1878741966133395456 |
|---|---|
| author | Maldonado Bascón, Saturnino |
| author2 | Fernández Caballero, Antonio Castillo Montoya, José Carlos López Bonal, María Teresa |
| author2_role | author author author |
| author_browse | Castillo Montoya, José Carlos Fernández Caballero, Antonio López Bonal, María Teresa Maldonado Bascón, Saturnino |
| author_facet | Maldonado Bascón, Saturnino Fernández Caballero, Antonio Castillo Montoya, José Carlos López Bonal, María Teresa |
| author_role | author |
| collection | RUIdeRA. Repositorio Institucional de la UCLM |
| description | The neurally inspired accumulative computation (AC) method and its application to motion detection have been introduced in the past years. This paper revisits the fact that many researchers have explored the relationship between neural networks and finite state machines. Indeed, finite state machines constitute the best characterized computational model, whereas artificial neural networks have become a very successful tool for modeling and problem solving. The article shows how to reach real-time performance after using a model described as a finite state machine. This paper introduces two steps towards that direction: (a) A simplification of the general AC method is performed by formally transforming it into a finite state machine. (b) A hardware implementation in FPGA of such a designed AC module, as well as an 8-AC motion detector, providing promising performance results. We also offer two case studies of the use of AC motion detectors in surveillance applications, namely infrared-based people segmentation and color-based people tracking, respectively. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | ES_ee11dcc4e8765b4d35b742e89d858090 |
| institution | Universidad de Castilla-La Mancha |
| instname_str | Universidad de Castilla-La Mancha |
| network_acronym_str | ES |
| network_name_str | España |
| oai_identifier_str | oai:ruidera.uclm.es:10578/2126 |
| publishDate | 2009 |
| publishDateSort | 2009 |
| reponame_str | RUIdeRA. Repositorio Institucional de la UCLM |
| spelling | Real-time accumulative computation motion detectors Maldonado Bascón, Saturnino Fernández Caballero, Antonio Castillo Montoya, José Carlos López Bonal, María Teresa Ingenierías The neurally inspired accumulative computation (AC) method and its application to motion detection have been introduced in the past years. This paper revisits the fact that many researchers have explored the relationship between neural networks and finite state machines. Indeed, finite state machines constitute the best characterized computational model, whereas artificial neural networks have become a very successful tool for modeling and problem solving. The article shows how to reach real-time performance after using a model described as a finite state machine. This paper introduces two steps towards that direction: (a) A simplification of the general AC method is performed by formally transforming it into a finite state machine. (b) A hardware implementation in FPGA of such a designed AC module, as well as an 8-AC motion detector, providing promising performance results. We also offer two case studies of the use of AC motion detectors in surveillance applications, namely infrared-based people segmentation and color-based people tracking, respectively. http://hdl.handle.net/10578/2126 |
| spellingShingle | Real-time accumulative computation motion detectors Maldonado Bascón, Saturnino Ingenierías |
| title | Real-time accumulative computation motion detectors |
| title_full | Real-time accumulative computation motion detectors |
| title_fullStr | Real-time accumulative computation motion detectors |
| title_full_unstemmed | Real-time accumulative computation motion detectors |
| title_short | Real-time accumulative computation motion detectors |
| title_sort | Real-time accumulative computation motion detectors |
| topic | Ingenierías |
| topic_facet | Ingenierías |
| url | http://hdl.handle.net/10578/2126 |