Now showing items 1-6 of 6
Classification and tracking of traffic scene objects with hybrid camera systems
(Institute of Electrical and Electronics Engineers, 2018-03)
In a hybrid camera system combining an omnidirectional and a Pan-Tilt-Zoom (PTZ) camera, the omnidirectional camera provides 360 degree horizontal field-of-view, whereas the PTZ camera provides high resolution at a certain ...
Instance detection by keypoint matching beyond the nearest neighbor
The binary descriptors are the representation of choice for real-time keypoint matching. However, they suffer from reduced matching rates due to their discrete nature. We propose an approach that can augment their performance ...
Detection and classification of vehicles from omnidirectional videos using multiple silhouettes
To detect and classify vehicles in omnidirectional videos, we propose an approach based on the shape (silhouette) of the moving object obtained by background subtraction. Different from other shape-based classification ...
A direct approach for object detection with catadioptric omnidirectional cameras
In this paper, we present an omnidirectional vision-based method for object detection. We first adopt the conventional camera approach that uses sliding windows and histogram of oriented gradients (HOG) features. Then, we ...
A Direct approach for human detection with catadioptric omnidirectional cameras
This paper presents an omnidirectional vision based solution to detect human beings. We first go through the conventional sliding window approaches for human detection. Then, we describe how the feature extraction step of ...
Training CNNs with image patches for object localisation
(Institution of Engineering and Technology, 2018-04)
Recently, convolutional neural networks (CNNs) have shown great performance in different problems of computer vision including object detection and localisation. A novel training approach is proposed for CNNs to localise ...