Multispectral pedestrian detection: Benchmark dataset and baseline
Korea Advanced Institute of Science and Technology
Abstract
With the increasing interest in pedestrian detection, pedestrian datasets have also been the subject of research in the past decades. However, most existing datasets focus on a color channel, while a thermal channel is helpful for detection even in a dark environment. With this in mind, we propose a multispectral pedestrian dataset which provides well aligned color-thermal image pairs, captured by beam splitter-based special hardware. The color-thermal dataset is as large as previous color-based datasets and provides dense annotations including temporal correspondences. With this dataset, we introduce multispectral ACF, which is an extension of aggregated channel features (ACF) to simultaneously handle…
Citation impact
- FWCI
- 22.83
- Percentile
- 100%
- References
- 34
Authors
5- SHSoonmin HwangCorresponding
Korea Advanced Institute of Science and Technology
- JPJaesik Park
Korea Advanced Institute of Science and Technology
- NINam Il Kim
Korea Advanced Institute of Science and Technology
- YCYukyung Choi
Korea Advanced Institute of Science and Technology
- ISIn So Kweon
Korea Advanced Institute of Science and Technology
Topics & keywords
- Pedestrian detection
- Multispectral image
- Computer science
- Pedestrian
- Artificial intelligence
- Benchmark (surveying)
- Channel (broadcasting)
- Focus (optics)
- Sustainable cities and communities