Tag: ICPR 2014
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Unsupervised Scene Adaptation for Faster Multi-scale Pedestrian Detection
Federico Bartoli; Giuseppe Lisanti; Svebor Karaman; Andrew D. Bagdanov; Alberto Del Bimbo Read Full Paper → In this paper we describe an approach to automatically improving the efficiency of soft cascade-based person detectors. Our technique addresses the two fundamental bottlenecks in cascade detectors: the number of weak classifiers that need to be evaluated in each cascade, and the total […]
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Fisher Vectors over Random Density Forests for Object Recognition
Claudio Baecchi; Francesco Turchini; Lorenzo Seidenari; Andrew D. Bagdanov; Alberto Del Bimbo Read Full Paper → In this paper we describe a Fisher vector encoding of images over Random Density Forests. Random Density Forests (RDFs) are an unsupervised variation of Random Decision Forests for density estimation. In this work we train RDFs by splitting at each node in order […]
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Scale Coding Bag-of-Words for Action Recognition
Fahad Shahbaz Khan; Joost Van De Weijer; Andrew D. Bagdanov; Michael Felsberg Read Full Paper → Recognizing human actions in still images is a challenging problem in computer vision due to significant amount of scale, illumination and pose variation. Given the bounding box of a person both at training and test time, the task is to classify the […]