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Scene Understanding
has become a popular topic in Computer Science which combines
abilities such as perception, analysis and interpretation of both
indoor and outdoor scenes. Hence, it involves joining efforts and
sharing knowledge from different research areas such as Computer
Vision, Pattern Recognition, Machine Intelligence, Software
Engineering and Cognitive Sciences. Scene Understanding underlies
many abilities such as visual search, visual exploration and
attention guidance, 3D object classification or human behaviour
description and recognition. However, many other abilities such as
spatio-temporal processing or multi-sensor fusion can also rely on
this topic.
This workshop is meant to bring together
researchers which address the problem of
Scene Understanding from the perspective of the different
involved research communities. The topics of the conference include,
but are not limited to:
Scene exploration
Local and Global Saliency
Perceptual search and attention guidance in scenes
Multimodal perception
Spatio-temporal reasoning
Perception and motion: Active spatial exploration
Place recognition
From
features to objects
Affine covariant feature detection
Object recognition from local features (Bags-of-features)
Structure for object recognition
Sharing features for multiclass and/or multiview
object recognition
3D object recognition
From objects to scenes
Conceptualization and scene classification
Grammars for objects and scenes
Objects in context: scenes and objects
Scene recognition without objects
Global scene representations for recognition
Visual Localization
Human behaviour understanding
Human
actions representation and recognition
Learning-based approaches for body movement description
Face Recognition
Application areas
Mobile
robot navigation: mapping and visual SLAM
Surveillance
Smart environments: computational perception of human activities
Wearable sensors for visually impaired people
Events and activities detection and understanding in video data
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