Scene Understanding
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Recent papers in Scene Understanding
In this chapter, a survey of the current state of research on autonomous driving is given and is set in the context of the requirements of an autonomous vehicle following the vision of an automated taxi. The overview is based on... more
Scope of the book: This book focusses on the technical concepts of deep learning and its associated branch Neural Networks for the various dimensions of image processing applications. The proposed volume intends to bring together... more
IntroductionOne goal of scene understanding is to find the shape and color of surfaces in a scene given a singleimage. This goal is complicated by the fact that given a particular distribution of illuminationsources, local variations of... more
This paper introduces work in progress on the EU project AVITRACK [5]. The main aim of this project is to auto-mate the supervision of commercial aircraft servicing oper-ations on the ground at airports (in bounded areas known as aprons).... more
One of the original goals of computer vision was to fully understand a natural scene. This requires solving several sub-problems simultaneously, including object detection, region labeling, and geometric reasoning. The last few decades... more
The recent development in autonomous driving involves high-level computer vision and detailed road scene understanding. Today, most autonomous vehicles employ expensive high quality sensor-set such as light detection and ranging (LIDAR)... more
This paper deals with the selection of relevant motion from multi-object movement. The proposed method is based on a multi-scale approach using features extracted from optical flow and global rarity quantification to compute bottom-up... more
New generations of smart sensors must provide military and law enforcement agencies with reliable perceptual systems that are similar to human vision. The traditional approach cannot provide a reliable separation of an object from its... more
We present the new Road Event and Activity Detection (READ) dataset, designed and created from an autonomous vehicle perspective to take action detection challenges to autonomous driving. READ will give scholars in computer vision, smart... more
ABSTRACT Scene understanding is an essential element for the exploration of unknown territory using mobile robots. In this regard, scene understanding refers to the identification and localization of elements within the scene. When the... more
Responding to natural disasters, such as earthquakes, floods, and wildfires, is a laborious task performed by on-the-ground emergency responders and analysts. Social media has emerged as a low-latency data source to quickly understand... more
We present the new Road Event and Activity Detection (READ) dataset, designed and created from an autonomous vehicle perspective to take action detection challenges to autonomous driving. READ will give scholars in computer vision, smart... more
This invited talk at COSUR 2018 describes a number of aspects of the application of machine learning to surgical robotics, ranging from perception to cognition (the recognition of surgeon actions, anomalous events, and the prediction of... more
This paper presents an intelligent assistive robotic system for people suffering from myopathy. In this context, we are developing a 4 DoF assistive exoskeletal orthosis for the upper limb. A special attention is made toward Human Machine... more
This paper examines intelligent image processing con- straints which may need to be considered for visual pros- thesis development and proposes a display framework which incorporates context, task and alerts related to a scene. A... more
Image understanding is an important research domain in the computer vision due to its wide real-world applications. For an image understanding framework that uses the Bag-of-Words model representation, the visual codebook is an essential... more
Generating captions or annotations automatically for still images is a challenging task. Traditionally, techniques involving higher-level (semantic) object detection and complex feature extraction have been employed for scene... more