Details

Autor(en) / Beteiligte

• Terzic, Kasim
• du Buf, J. M. H.

Titel

An efficient Naive Bayes approach to category-level object detection

Ist Teil von

• 2014 IEEE International Conference on Image Processing (ICIP), 2014, p.1658-1662

Ort / Verlag

IEEE

Erscheinungsjahr

2014

Quelle

IEEE Electronic Library Online

Beschreibungen/Notizen

• We present a fast Bayesian algorithm for category-level object detection in natural images. We modify the popular Naive Bayes Nearest Neighbour classification algorithm to make it suitable for evaluating multiple sub-regions in an image, and offer a fast, filtering-based alternative to the multi-scale sliding window approach. Our algorithm is example-based and requires no learning. Tests on standard datasets and robotic scenarios show competitive detection rates and real-time performance of our algorithm.