Current navigation systems use multi-sensor data to improve the localization accuracy, but
often without certitude on the quality of those measurements in certain situations. The …

In recent years, interest in scene classification of different indoor-outdoor scene images has
increased due to major developments in visual sensor techniques. Scene classification has …

Abnormal event detection is one of the most important objectives in security surveillance for
public scenes. In this paper, a new high-performance algorithm based on spatio-temporal …

Land use mapping is a fundamental yet challenging task in geographic science. In contrast
to land cover mapping, it is generally not possible using overhead imagery. The recent …

Indoor-Outdoor scene classification problem have been proposed for almost 20 years and
widely applied to general scene classification, image retrieval, image processing and robot …

This paper deals with the task of automatic indoor vs. outdoor classification from image data
with respect to future usage in mobile robotics. For the requirements of this research, we …

Indoor-outdoor image classification is a well-known problem for which multiple solutions
have been proposed, many of which use both low-level and high-level features put into …

An approach that extracts global attributes from outdoor images to facilitate geometric layout
labeling is investigated in this work. The proposed Global-attributes Assisted Labeling (GAL) …

Purpose The purpose of this paper is to classify the given image as indoor or outdoor with
higher success rate by mixing various features like brightness, number of straight lines …

Scene classification is more challenging than object classification due to higher ambiguity in
scene labels. In this work, we propose to use the filter weights at the last stage of a CNN …