Pedestrian detection from thermal images: A sparse representation based approach

Infrared Physics & Technology ◽

10.1016/j.infrared.2016.02.004 ◽

2016 ◽

Vol 76 ◽

pp. 157-167 ◽

Cited By ~ 15

Author(s):

Bin Qi ◽

Vijay John ◽

Zheng Liu ◽

Seiichi Mita

Keyword(s):

Sparse Representation ◽

Pedestrian Detection ◽

Thermal Images

Download Full-text

Use of Sparse Representation for Pedestrian Detection in Thermal Images

2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops ◽

10.1109/cvprw.2014.49 ◽

2014 ◽

Cited By ~ 9

Author(s):

Bin Qi ◽

Vijay John ◽

Zheng Liu ◽

Seiichi Mita

Keyword(s):

Sparse Representation ◽

Pedestrian Detection ◽

Thermal Images

Download Full-text

Pedestrian Detection and Tracking in Thermal Images from Aerial MPEG Videos

Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications ◽

10.5220/0006723704870495 ◽

2018 ◽

Cited By ~ 1

Author(s):

Ichraf Lahouli ◽

Robby Haelterman ◽

Zied Chtourou ◽

Geert De Cubber ◽

Rabah Attia

Keyword(s):

Pedestrian Detection ◽

Thermal Images ◽

Detection And Tracking

Download Full-text

Efficient Pedestrian Detection in the Low Resolution via Sparse Representation with Sparse Support Regression

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-57529-2_25 ◽

2017 ◽

pp. 313-323

Author(s):

Wenhua Fang ◽

Jun Chen ◽

Ruimin Hu

Keyword(s):

Sparse Representation ◽

Pedestrian Detection ◽

Low Resolution

Download Full-text

Domain-Adaptive Pedestrian Detection in Thermal Images

2019 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2019.8803104 ◽

2019 ◽

Cited By ~ 3

Author(s):

Tiantong Guo ◽

Cong Phuoc Huynh ◽

Mashhour Solh

Keyword(s):

Pedestrian Detection ◽

Thermal Images

Download Full-text

Feature Selection and Pedestrian Detection Based on Sparse Representation

PLoS ONE ◽

10.1371/journal.pone.0134242 ◽

2015 ◽

Vol 10 (8) ◽

pp. e0134242 ◽

Cited By ~ 5

Author(s):

Shihong Yao ◽

Tao Wang ◽

Weiming Shen ◽

Shaoming Pan ◽

Yanwen Chong ◽

...

Keyword(s):

Feature Selection ◽

Sparse Representation ◽

Pedestrian Detection

Download Full-text

Pedestrian detection for underground mine vehicles using thermal images

IEEE Africon '11 ◽

10.1109/afrcon.2011.6072167 ◽

2011 ◽

Cited By ~ 7

Author(s):

J. S. Dickens ◽

M. A. van Wyk ◽

J. J. Green

Keyword(s):

Pedestrian Detection ◽

Underground Mine ◽

Thermal Images

Download Full-text

Pedestrian detection in the radiometric temperature based far infrared thermal images at night time

2016 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) ◽

10.1109/icce-asia.2016.7804801 ◽

2016 ◽

Author(s):

Taehwan Kim ◽

Taehoon Kim ◽

Minseok Son ◽

Sungho Kim ◽

Eunryung Lee ◽

...

Keyword(s):

Pedestrian Detection ◽

Far Infrared ◽

Night Time ◽

Thermal Images ◽

Infrared Thermal Images

Download Full-text

Real-time infrared pedestrian detection via sparse representation

2012 International Conference on Computer Vision in Remote Sensing ◽

10.1109/cvrs.2012.6421259 ◽

2012 ◽

Author(s):

Huanxin Zou ◽

Hao Sun ◽

Kefeng Ji

Keyword(s):

Sparse Representation ◽

Real Time ◽

Pedestrian Detection

Download Full-text

An Efficient Super-resolution Algorithm for IR Thermal Images Based On Sparse Representation

10.21611/qirt.2015.0092 ◽

2015 ◽

Cited By ~ 1

Author(s):

W. Jino Hans ◽

N. Venkateswaran

Keyword(s):

Sparse Representation ◽

Super Resolution ◽

Thermal Images ◽

Resolution Algorithm

Download Full-text

Pedestrian Detection and Trajectory Estimation in the Compressed Domain Using Thermal Images

Communications in Computer and Information Science - Computer Vision, Imaging and Computer Graphics Theory and Applications ◽

10.1007/978-3-030-26756-8_10 ◽

2019 ◽

pp. 212-227

Author(s):

Ichraf Lahouli ◽

Zied Chtourou ◽

Mohamed Ali Ben Ayed ◽

Robby Haelterman ◽

Geert De Cubber ◽

...

Keyword(s):

Pedestrian Detection ◽

Compressed Domain ◽

Trajectory Estimation ◽

Thermal Images

Download Full-text