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Article
MCLEMCD: multimodal collaborative learning encoder for enhanced music classification from dances
Music classification is widely applied in the automatic organization of music archives and intelligent music interfaces. Music is frequently accompanied by other media, such as image sequences. Combining vario...
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Article
From 2D to 3D geodesic-based garment matching
A new approach for 2D to 3D garment retexturing is proposed based on Gaussian mixture models and thin plate splines (TPS). An automatically segmented garment of an individual is matched to a new source garment...
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Chapter and Conference Paper
Catastrophic Interference in Disguised Face Recognition
It is commonly known the natural tendency of artificial neural networks to completely and abruptly forget previously known information when learning new information. We explore this behaviour in the context of...
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Article
Looking at People Special Issue
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Chapter and Conference Paper
Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery
We propose a novel attention mechanism to enhance Convolutional Neural Networks for fine-grained recognition. It learns to attend to lower-level feature activations without requiring part annotations and uses ...
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Chapter and Conference Paper
ChaLearn Looking at People Challenge 2014: Dataset and Results
This paper summarizes the ChaLearn Looking at People 2014 challenge data and the results obtained by the participants. The competition was split into three independent tracks: human pose recovery from RGB data...
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Article
Special issue on background modeling for foreground detection in real-world dynamic scenes
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Chapter
Moving Cast Shadows Detection Methods for Video Surveillance Applications
Moving cast shadows are a major concern in today’s performance from broad range of many vision-based surveillance applications because they highly difficult the object classification task. Several shadow detec...
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Chapter
Towards Ontological Cognitive System
The increasing ubiquitousness of digital information in our daily lives has positioned video as a favored information vehicle, and given rise to an astonishing generation of social media and surveillance foota...
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Chapter
Exploiting Multimodal Interaction Techniques for Video-Surveillance
In this paper we present an example of a video surveillance application that exploits Multimodal Interactive (MI) technologies. The main objective of the so-called VID-Hum prototype was to develop a cognitive ...
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Article
Open AccessHuman action recognition based on estimated weak poses
We present a novel method for human action recognition (HAR) based on estimated poses from image sequences. We use 3D human pose data as additional information and propose a compact human pose representation, ...
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Chapter and Conference Paper
A New Image Dataset on Human Interactions
This article describes a new collection of still image dataset which are dedicated to interactions between people. Human action recognition from still images have been a hot topic recently, but most of them ar...
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Chapter
Trajectory-Based Abnormality Categorization for Learning Route Patterns in Surveillance
The recognition of abnormal behaviors in video sequences has raised as a hot topic in video understanding research. Particularly, an important challenge resides on automatically detecting abnormality. However,...
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Article
Harmony Potentials
The Hierarchical Conditional Random Field (HCRF) model have been successfully applied to a number of image labeling problems, including image segmentation. However, existing HCRF models of image segmentation d...
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Chapter and Conference Paper
On Importance of Interactions and Context in Human Action Recognition
This paper is focused on the automatic recognition of human events in static images. Popular techniques use knowledge of the human pose for inferring the action, and the most recent approaches tend to combine ...
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Chapter
Beyond the Static Camera: Issues and Trends in Active Vision
Maximizing both the area coverage and the resolution per target is highly desirable in many applications of computer vision. However, with a limited number of cameras viewing a scene, the two objectives are co...
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Chapter
Semantics of Human Behavior in Image Sequences
Human behavior is contextualized and understanding the scene of an action is crucial for giving proper semantics to behavior. In this chapter we present a novel approach for scene understanding. The emphasis o...
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Article
Open AccessRobust Real-Time Background Subtraction Based on Local Neighborhood Patterns
This paper describes an efficient background subtraction technique for detecting moving objects. The proposed approach is able to overcome difficulties like illumination changes and moving shadows. Our method ...
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Chapter and Conference Paper
Automatic Key Pose Selection for 3D Human Action Recognition
This article describes a novel approach to the modeling of human actions in 3D. The method we propose is based on a “bag of poses” model that represents human actions as histograms of key-pose occurrences over...
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Chapter and Conference Paper
Recursive Coarse-to-Fine Localization for Fast Object Detection
Cascading techniques are commonly used to speed-up the scan of an image for object detection. However, cascades of detectors are slow to train due to the high number of detectors and corresponding thresholds t...
