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 present a new approach to iteratively estimate both
high-quality depth map and alpha matte from a single image
or a video sequence. Scene depth, which is invariant
to illumin...
Jiejie Zhu (University of Kentucky), Miao Liao (Un...
We investigate the problem of pedestrian detection in
still images. Sliding window classifiers, notably using the
Histogram-of-Gradient (HOG) features proposed by Dalal
and Trig...
Many interactive image segmentation approaches use an objective function which includes appearance models as an unknown variable. Since the resulting optimization problem is NP-har...
Local experts have been used to great effect for fitting deformable
models to images. Typically, the best location in
an image for the deformable model’s landmarks are found
t...