TY - GEN
T1 - Real time static/dynamic obstacle detection for visually impaired persons
AU - Tapu, R.
AU - Mocanu, B.
AU - Zaharia, T.
PY - 2014/1/1
Y1 - 2014/1/1
N2 - In this paper we introduce a novel framework for detecting static/moving obstacles in order to assist visually impaired/blind persons to navigate safely. Firstly, a set of interest points is extracted base on an image grid and tracked using the multiscale Lucas - Kanade algorithm. Next, the camera/background motion is determined through a set of homographic transforms, estimated by recursively applying the RANSAC algorithm on the interest point correspondence while other types of movements are identified using an agglomerative clustering technique. Finally, obstacles are classified as urgent/normal based on their distance to the subject and motion vectors orientation. The experimental results performed on various challenging scenes demonstrate that our approach is effective in videos with important camera movement, including noise and low resolution data.
AB - In this paper we introduce a novel framework for detecting static/moving obstacles in order to assist visually impaired/blind persons to navigate safely. Firstly, a set of interest points is extracted base on an image grid and tracked using the multiscale Lucas - Kanade algorithm. Next, the camera/background motion is determined through a set of homographic transforms, estimated by recursively applying the RANSAC algorithm on the interest point correspondence while other types of movements are identified using an agglomerative clustering technique. Finally, obstacles are classified as urgent/normal based on their distance to the subject and motion vectors orientation. The experimental results performed on various challenging scenes demonstrate that our approach is effective in videos with important camera movement, including noise and low resolution data.
UR - https://www.scopus.com/pages/publications/84898687259
U2 - 10.1109/ICCE.2014.6776055
DO - 10.1109/ICCE.2014.6776055
M3 - Conference contribution
AN - SCOPUS:84898687259
SN - 9781479912919
T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
SP - 394
EP - 395
BT - 2014 IEEE International Conference on Consumer Electronics, ICCE 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Consumer Electronics, ICCE 2014
Y2 - 10 January 2014 through 13 January 2014
ER -