A cognitive vision approach to early pest detection in greenhouse crops
P Boissard, V Martin, S Moisan - computers and electronics in agriculture, 2008 - Elsevier
Early disease detection is a major challenge in horticulture. Integrated Pest Management
(IPM) combines prophylactic, biological and physical methods to fight bioagressors of crops …
(IPM) combines prophylactic, biological and physical methods to fight bioagressors of crops …
Ontology-based classification of building types detected from airborne laser scanning data
Accurate information on urban building types plays a crucial role for urban development,
planning, and management. In this paper, we apply Object-Based Image Analysis (OBIA) …
planning, and management. In this paper, we apply Object-Based Image Analysis (OBIA) …
Ontology based complex object recognition
NE Maillot, M Thonnat - Image and Vision Computing, 2008 - Elsevier
This paper presents a new approach for object categorization involving the following
aspects of cognitive vision: learning, recognition and knowledge representation. A major …
aspects of cognitive vision: learning, recognition and knowledge representation. A major …
Intelligent surveillance system with integration of heterogeneous information for intrusion detection
Recently, interest about security in public and private spaces has increased in favour of
social welfare. Surveillance systems are increasingly needed to provide security for citizens …
social welfare. Surveillance systems are increasingly needed to provide security for citizens …
Segmentation and description of natural outdoor scenes
A Bosch, X Muñoz, J Freixenet - Image and Vision computing, 2007 - Elsevier
A scene description and segmentation system capable of recognising natural objects (eg
sky, trees, grass) under different outdoor conditions is presented. We propose an hybrid and …
sky, trees, grass) under different outdoor conditions is presented. We propose an hybrid and …
Ontology based object learning and recognition: Application to image retrieval
This work presents a new object categorization method and shows how it can be used for
image retrieval. Our approach involves machine learning and knowledge representation …
image retrieval. Our approach involves machine learning and knowledge representation …
Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity
A framework for the logical and statistical analysis and annotation of dynamic scenes
containing occlusion and other uncertainties is presented. This framework consists of three …
containing occlusion and other uncertainties is presented. This framework consists of three …
A supervised learning approach to automate the acquisition of knowledge in surveillance systems
J Albusac, JJ Castro-Schez, LM López-López… - Signal Processing, 2009 - Elsevier
This paper presents a machine learning-based method to build knowledge bases used to
carry out surveillance tasks in environments monitored with video cameras. The method …
carry out surveillance tasks in environments monitored with video cameras. The method …
[PDF][PDF] Ontology based interpretation of very high resolution imageries–grounding ontologies on visual interpretation keys
Object-based image analysis (OBIA) approach is an accepted and efficient method for
classifying very high resolution (VHR) datasets. The classification process relies on the …
classifying very high resolution (VHR) datasets. The classification process relies on the …
Visual interpretation of events in petroleum exploration: An approach supported by well-founded ontologies
In visual domains, such as Medicine, Meteorology and Geology, the tasks are accomplished
through intensive use of visual knowledge. In this work, we focus in an essential kind of task …
through intensive use of visual knowledge. In this work, we focus in an essential kind of task …