@inproceedings{9f796ed72741488592ad16ca87d9b8fd,
title = "Improved human detection and classification in thermal images",
abstract = "We present a new method for detecting pedestrians in thermal images. The method is based on the Shape Context Descriptor (SCD) with the Adaboost cascade classifier framework. Compared with standard optical images, thermal imaging cameras offer a clear advantage for night-time video surveillance. It is robust on the light changes in day-time. Experiments show that shape context features with boosting classification provide a significant improvement on human detection in thermal images. In this work, we have also compared our proposed method with rectangle features on the public dataset of thermal imagery [1]. Results show that shape context features are much better than the conventional rectangular features on this task.",
keywords = "Adaboost, Human detection, Shape context, Thermal image",
author = "Weihong Wang and Jian Zhang and Chunhua Shen",
year = "2010",
doi = "10.1109/ICIP.2010.5649946",
language = "English",
isbn = "9781424479948",
series = "Proceedings - International Conference on Image Processing, ICIP",
pages = "2313--2316",
booktitle = "2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings",
note = "2010 17th IEEE International Conference on Image Processing, ICIP 2010 ; Conference date: 26-09-2010 Through 29-09-2010",
}