Search Results for author:
Found 4 papers, 0 papers with code
Superpixel-Based Tracking-By-Segmentation Using Markov Chains
We propose a simple but effective tracking-by-segmentation algorithm using Absorbing Markov Chain (AMC) on superpixel segmentation, where target state is estimated by a combination of bottom-up and top-down approaches, and target segmentation is propagated to subsequent frames in a recursive manner.
Local Decorrelation For Improved Pedestrian Detection
In fact, orthogonal trees with our locally decorrelated features outperform oblique trees trained over the original features at a fraction of the computational cost.
Ranked #32 on
Pedestrian Detection
on Caltech
Local Decorrelation For Improved Detection
In fact, orthogonal trees with our locally decorrelated features outperform oblique trees trained over the original features at a fraction of the computational cost.
Multi-agent Event Detection: Localization and Role Assignment
We present a joint estimation technique of event localization and role assignment when the target video event is described by a scenario.
