TY - GEN
T1 - Object recognition using hierarchical temporal memory
AU - Fallas-Moya, Fabián
AU - Torres-Rojas, Francisco
N1 - Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2018.
PY - 2018
Y1 - 2018
N2 - At this time, great effort is being directed toward developing problem-solving technology that mimic human cognitive processes. Research has been done to develop object recognition using Computer Vision for daily tasks such as secure access, traffic management, and robotic behavior. For this research, four different machine learning algorithms have been developed to overcome the computer vision problem of object recognition. Hierarchical temporal memory (HTM) is an emerging technology based on biological methods of the human cortex to learn patterns. This research applied an HTM algorithm to images (video sequences) in order to compare this technique against two others: support vector machines (SVM) and artificial neural networks (ANN). It was concluded that HTM was the most effective.
AB - At this time, great effort is being directed toward developing problem-solving technology that mimic human cognitive processes. Research has been done to develop object recognition using Computer Vision for daily tasks such as secure access, traffic management, and robotic behavior. For this research, four different machine learning algorithms have been developed to overcome the computer vision problem of object recognition. Hierarchical temporal memory (HTM) is an emerging technology based on biological methods of the human cortex to learn patterns. This research applied an HTM algorithm to images (video sequences) in order to compare this technique against two others: support vector machines (SVM) and artificial neural networks (ANN). It was concluded that HTM was the most effective.
KW - Computer vision
KW - HTM
KW - Machine learning
UR - https://www.scopus.com/pages/publications/85044225140
U2 - 10.1007/978-3-319-76261-6_1
DO - 10.1007/978-3-319-76261-6_1
M3 - Contribución a la conferencia
AN - SCOPUS:85044225140
SN - 9783319762609
T3 - Communications in Computer and Information Science
SP - 1
EP - 14
BT - Intelligent Computing Systems - 2nd International Symposium, ISICS 2018, Proceedings
A2 - Brito-Loeza, Carlos
A2 - Espinosa-Romero, Arturo
PB - Springer Verlag
T2 - 2nd International Symposium on Intelligent Computing Systems, ISICS 2018
Y2 - 21 March 2018 through 23 March 2018
ER -