We propose a novel approach to increase the robustness of object detection algorithms in surveillance scenarios. The cascaded confidence filter successively incorporates constraint...
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
We describe a method for optimal construction of a detection cascade comprising 3D models of increasing levelof-detail (LOD). An LOD 3D model hierarchy of the target object is fir...
This paper presents an approach to performing time-critical collision detection for deformable objects. The deformable objects are represented by dense meshes and their deformatio...
One of the original goals of computer vision was to fully understand a natural scene. This requires solving several sub-problems simultaneously, including object detection, region...
Geremy Heitz, Stephen Gould, Ashutosh Saxena, Daph...