We develop a method that can detect humans in a single image based on a new cascaded structure. In our approach, both the rectangle features and 1-D edge-orientation features are e...
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
—In this paper we describe a fully integrated system for detecting and tracking pedestrians in a dynamic urban environment. The system can reliably detect and track pedestrians t...
Bharath Kalyan, K. W. Lee, W. Sardha Wijesoma, D. ...
Pedestrian detection is a key problem in computer vision,
with several applications including robotics, surveillance
and automotive safety. Much of the progress of the past
few ...
Bernt Schiele, Christian Wojek, Pietro Perona, Pio...
We propose a novel learning algorithm to detect moving pedestrians from a stationary camera in real-time. The algorithm learns a discriminative model based on eigenflow, i.e. the ...