Computer vision and deep learning techniques for pedestrian detection and tracking: A survey
Pedestrian detection and tracking have become an important field in the computer vision
research area. This growing interest, started in the last decades, might be explained by the …
research area. This growing interest, started in the last decades, might be explained by the …
Human face detection techniques: A comprehensive review and future research directions
Face detection, which is an effortless task for humans, is complex to perform on machines.
The recent veer proliferation of computational resources is paving the way for frantic …
The recent veer proliferation of computational resources is paving the way for frantic …
Occlusion-aware R-CNN: Detecting pedestrians in a crowd
Pedestrian detection in crowded scenes is a challenging problem since the pedestrians
often gather together and occlude each other. In this paper, we propose a new occlusion …
often gather together and occlude each other. In this paper, we propose a new occlusion …
Scale-aware fast R-CNN for pedestrian detection
In this paper, we consider the problem of pedestrian detection in natural scenes. Intuitively,
instances of pedestrians with different spatial scales may exhibit dramatically different …
instances of pedestrians with different spatial scales may exhibit dramatically different …
Eurocity persons: A novel benchmark for person detection in traffic scenes
Big data has had a great share in the success of deep learning in computer vision. Recent
works suggest that there is significant further potential to increase object detection …
works suggest that there is significant further potential to increase object detection …
Deep learning strong parts for pedestrian detection
Recent advances in pedestrian detection are attained by transferring the learned features of
Convolutional Neural Network (ConvNet) to pedestrians. This ConvNet is typically pre …
Convolutional Neural Network (ConvNet) to pedestrians. This ConvNet is typically pre …
Vehicle detection in aerial imagery: A small target detection benchmark
S Razakarivony, F Jurie - Journal of Visual Communication and Image …, 2016 - Elsevier
This paper introduces VEDAI: Vehicle Detection in Aerial Imagery a new database of aerial
images provided as a tool to benchmark automatic target recognition algorithms in …
images provided as a tool to benchmark automatic target recognition algorithms in …
Ten years of pedestrian detection, what have we learned?
Paper-by-paper results make it easy to miss the forest for the trees. We analyse the
remarkable progress of the last decade by discussing the main ideas explored in the 40+ …
remarkable progress of the last decade by discussing the main ideas explored in the 40+ …
[PDF][PDF] Pedestrian detection aided by deep learning semantic tasks
Deep learning methods have achieved great success in pedestrian detection, owing to its
ability to learn features from raw pixels. However, they can mainly capture middlelevel …
ability to learn features from raw pixels. However, they can mainly capture middlelevel …
From handcrafted to deep features for pedestrian detection: A survey
Pedestrian detection is an important but challenging problem in computer vision, especially
in human-centric tasks. Over the past decade, significant improvement has been witnessed …
in human-centric tasks. Over the past decade, significant improvement has been witnessed …