PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Techniques for still image scene classification and object detection
Ville Viitaniemi and Jorma Laaksonen
In: 16th International Conference on Artificial Neural Networks, Sep 2006, Athens, Greece.


In this paper we consider the interaction between different semantic levels in still image scene classification and object detection problems. We present a method where a neural method is used to produce a tentative higher-level semantic scene representation from low-level statistical visual features in a bottom-up fashion. This emergent representation is then used to refine the lower-level object detection results. We evaluate the proposed method with data from Pascal VOC Challenge 2006 image classification and object detection competition. The proposed techniques for exploiting global classification results are found to significantly improve the accuracy of local object detection.

EPrint Type:Conference or Workshop Item (Oral)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
ID Code:2557
Deposited By:Ville Viitaniemi
Deposited On:22 November 2006