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A Master-Slave Approach for Object Detection and Matching with Fixed and Mobile Cameras

Related publications (98)

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Semantic Image Segmentation Using Visible and Near-Infrared Channels

Sabine Süsstrunk, Neda Salamati

Recent progress in computational photography has shown that we can acquire physical information beyond visible (RGB) image representations. In particular, we can acquire near-infrared (NIR) cues with only slight modification to any standard digital camera. ...

Springer Berlin Heidelberg2012

Finding Objects of Interest in Images using Saliency and Superpixels

Radhakrishna Achanta

The ability to automatically find objects of interest in images is useful in the areas of compression, indexing and retrieval, re-targeting, and so on. There are two classes of such algorithms – those that find any object of interest with no prior knowledg ...

EPFL2011

Vision-Based Scene Understanding with Sparsity Promoting Priors

Alexandre Massoud Alahi

Human beings are interested in understanding their environments and the dynamic content that fills their surroundings. For applications ranging from security to marketing, people have installed networks of cameras to capture the dynamic elements of scenes. ...

EPFL2011

Machine Vision-Based Analysis of Gaze and Visual Context

Basilio Noris

Visual behavior, and specifically gaze directed at objects and people, is a fundamental cue for understanding how children with Autism Spectrum Disorder (ASD) experience and respond to social interaction. Indeed atypical behaviors such as averting the gaze ...

EPFL2011

Removing Shadows from Images Using Color and Near-infrared

Sabine Süsstrunk, Neda Salamati, Arthur Germain

Shadows often introduce errors in the performance of computer vision algorithms, such as object detection and tracking. This paper proposes a method to remove shadows from real images based on a probability shadow map. The probability shadow map identifies ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Results of the prototype camera for FACT

Werner Lustermann, Mathieu Ribordy, Thomas Günther Bretz

The maximization of the photon detection efficiency (PDE) is a key issue in the development of cameras for Imaging Atmospheric Cherenkov Telescopes. Geiger-mode Avalanche Photodiodes (G-APD) are a promising candidate to replace the commonly used photomulti ...

2011

Extended Keyframe Detection with Stable Tracking for Multiple 3D Object Tracking

Vincent Lepetit

We present a method that is able to track several 3D objects simultaneously, robustly, and accurately in real time. While many applications need to consider more than one object in practice, the existing methods for single object tracking do not scale well ...

Institute of Electrical and Electronics Engineers2011

Tasting Families of Features for Image Classification

François Fleuret, Charles Dubout

Using multiple families of image features is a very efficient strategy to improve performance in object detection or recognition. However, such a strategy induces multiple challenges for machine learning methods, both from a computational and a statistical ...

2011

Conditional Random Fields for Multi-Camera Object Detection

Pascal Fua, Horesh Beny Ben Shitrit, Xavier Boix Bosch, Gemma Roig Noguera

We formulate a model for multi-class object detection in a multi-camera environment. From our knowledge, this is the first time that this problem is addressed taken into account different object classes simultaneously. Given several images of the scene tak ...

2011

Unsupervised Extraction of Audio-Visual Objects

Pierre Vandergheynst, Anna Llagostera Casanovas

We propose a novel method to automatically detect and extract the video modality of the sound sources that are present in a scene. For this purpose, we first assess the synchrony between the moving objects captured with a video camera and the sounds record ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011