We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
A new thermal infrared and visible spectrum images-based pedestrian detection system.
- Authors
Lahmyed, Redouan; El Ansari, Mohamed; Ellahyani, Ayoub
- Abstract
In this paper, we propose a hybrid system for pedestrian detection, in which both thermal and visible images of the same scene are used. The proposed method is achieved in two basic steps: (1) Hypotheses generation (HG) where the locations of possible pedestrians in an image are determined and (2) hypotheses verification (HV), where tests are done to check the presence of pedestrians in the generated hypotheses. HG step segments the thermal image using a modified version of OTSU thresholding technique. The segmentation results are mapped into the corresponding visible image to obtain the regions of interests (possible pedestrians). A post-processing is done on the resulting regions of interests to keep only significant ones. HV is performed using random forest as classifier and a color-based histogram of oriented gradients (HOG) together with the histograms of oriented optical flow (HOOF) as features. The proposed approach has been tested on OSU Color-Thermal, INO Video Analytics and LITIV data sets and the results justify its effectiveness.
- Subjects
PEDESTRIANS; INFRARED spectra; VISIBLE spectra; OPTICAL flow; INFRARED imaging; HYBRID systems
- Publication
Multimedia Tools & Applications, 2019, Vol 78, Issue 12, p15861
- ISSN
1380-7501
- Publication type
Article
- DOI
10.1007/s11042-018-6974-5