Accurate and consistent vulnerable road user detection remains one of the most challenging
perception tasks for autonomous vehicles. One of the most complex outstanding issues is …

Human detection and activity recognition is very important research area in the healthcare,
video surveillance, pedestrian detection, intelligent vehicle system and home care center …

Multispectral pedestrian detection has received great attention in recent years as
multispectral modalities (ie color and thermal) can provide complementary visual …

Incorporating multiple camera views for detection alleviates the impact of occlusions in
crowded scenes. In a multiview detection system, we need to answer two important …

Integrating multispectral data has been demonstrated to be an effective solution for
illumination-invariant pedestrian detection, in particular, RGB and thermal images can …

In this paper, we propose deformable deep convolutional neural networks for generic object
detection. This new deep learning object detection framework has innovations in multiple …

Feature extraction, deformation handling, occlusion handling, and classification are four
important components in pedestrian detection. Existing methods learn or design these …

Multiview detection incorporates multiple camera views to deal with occlusions, and its
central problem is multiview aggregation. Given feature map projections from multiple views …

Although the visual appearances of small-scale objects are not well observed, humans can
recognize them by associating the visual cues of small objects from their memorized …

Rapid growth in technology has changed the way humans live. Ongoing development in the
automobile industry is creating intelligent vehicles and this mode of transportation will assist …