Daniel Goehring demonstrates DPM-based realtime object detection

At ICSI's annual open house, held in conjunction with the Berkeley EECS Annual Research Symposium on Thursday, February 14, Daniel Goehring demonstrated DPM-based realtime objection. Daniel is a DAAD-funded scholar in the Audio and Multimedia Group. Here is the abstract for his demo:
Object detection and classification is an important field within computer vision. Subtasks include the derivation of the position of an object within the image and its classification. In this demo we show an object detection approach, applied for 30 different household objects. The approach is based on the Deformable Parts Model algorithm, which uses HOG features and linear SVM to find the different part locations of an object. We use sparselets and a Cuda-Implementation to run our algorithm with 3-7 Hz.