Deep learning approach for human action recognition in infrared images
Human action recognition based Ambient assisted living (AAL) systems, targeted towards
providing assistance for the elderly and persons with disabilities, have been of interest to …
providing assistance for the elderly and persons with disabilities, have been of interest to …
Pedestrian detection in thermal images using adaptive fuzzy C-means clustering and convolutional neural networks
Pedestrian detection is paramount for advanced driver assistance systems (ADAS) and
autonomous driving. As a key technology in computer vision, it also finds many other …
autonomous driving. As a key technology in computer vision, it also finds many other …
Saliency map generation by the convolutional neural network for real-time traffic light detection using template matching
A critical issue in autonomous vehicle navigation and advanced driver assistance systems
(ADAS) is the accurate real-time detection of traffic lights. Typically, vision-based sensors …
(ADAS) is the accurate real-time detection of traffic lights. Typically, vision-based sensors …
Saliency-based pedestrian detection in far infrared images
Y Cai, Z Liu, H Wang, X Sun - IEEE Access, 2017 - ieeexplore.ieee.org
Night time pedestrian detection is more and more important in advanced driver assistant
systems (ADAS). Traditional pedestrian detection algorithms in far infrared (FIR) images lack …
systems (ADAS). Traditional pedestrian detection algorithms in far infrared (FIR) images lack …
A survey of vehicular network systems for road traffic management
In this survey, we analyze the proposals of vehicular communication systems in the context
of road traffic management. Starting with the definition of communications between vehicles …
of road traffic management. Starting with the definition of communications between vehicles …
Benchmarking a large-scale FIR dataset for on-road pedestrian detection
Far infrared (FIR) pedestrian detection is an essential module of advanced driver assistance
systems (ADAS) at nighttime. Although recent deep learning-based detectors have achieved …
systems (ADAS) at nighttime. Although recent deep learning-based detectors have achieved …
Thermal analysis of surface micromachined porous silicon membranes using the 3ω method: Implications for thermal sensing
Investigations into porous silicon thermo-resistive type thermal sensors and their
advantages in speed-sensitivity trade-off relative to other comparable thermal materials are …
advantages in speed-sensitivity trade-off relative to other comparable thermal materials are …
The gaze of schizophrenia patients captured by bottom-up saliency
Schizophrenia (SCHZ) notably impacts various human perceptual modalities, including
vision. Prior research has identified marked abnormalities in perceptual organization in …
vision. Prior research has identified marked abnormalities in perceptual organization in …
Pedestrian detection at night time in FIR domain: Comprehensive study about temperature and brightness and new benchmark
T Kim, S Kim - Pattern Recognition, 2018 - Elsevier
This paper presents a novel method to detect pedestrians in the far infrared (FIR) domain at
night. In existing infrared data, the brightness is distorted by the contrast of the scene …
night. In existing infrared data, the brightness is distorted by the contrast of the scene …
Infrared-visible synthetic data from game engine for image fusion improvement
Limited by the shooting scenes and angles of fixed cameras, the existing datasets generally
lack many detailed pedestrian models in diverse scenarios. Existing deep learning-based …
lack many detailed pedestrian models in diverse scenarios. Existing deep learning-based …