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In this paper we present a novel close-to-sensor computational camera design. The hardware can be configured for a wide range of autonomous applications such as industrial inspection, binocular/stereo robotic vision, UAV navigation/control and biological vision analogues. Close coupling of the image sensor with computation, motor control and motion sensors enables low latency responses to changes...
This paper presents the use of the Geographic information for data management and visualization in a smart city project (SunRise — Smart City), conducted at the Scientific Campus of the University of Lille. The campus stands for a small town with around 25 000 users. It includes 150 buildings and 100 km of urban networks. Arc GIS is used for the management and visualization of data concerning the...
Remote sensing imagery derived from different sensors has different crop identification capability. due to the different spatial and temporal resolution, availability of certain spectral bands. Landsat OLI and RapidEye provide an important part of data sources for agricultural monitoring with a relative long historic records. As the availability of the data from these two sensors is totally different,...
This study provides an insight into a novel steady state visually evoked potential (SSVEP) brain computer interface (BCI) approach. In this approach, four groups of light emitting diodes (LEDs) that flicker at different frequencies are used and each of these groups consist of three LEDs connected in series. By providing visual attention to these LEDs, corresponding electroencephalograph (EEG) signals...
The significant advance of the Internet allows the inclusion of concepts like IoT (Internet of Things) and Cloud Computing. Nowadays, the deployment of systems and platforms of IoT and cloud facilitate the monitoring and remote management in different areas. However, The structural health monitoring presents networks with centralized topology, deployment of local data and a poor acquisition of seismic...
Pedestrian detection is an important component for safety of autonomous vehicles, as well as for traffic and street surveillance. There are extensive benchmarks on this topic and it has been shown to be a challenging problem when applied on real use-case scenarios. In purely image-based pedestrian detection approaches, the state-of-the-art results have been achieved with convolutional neural networks...
Eyes are organs of our visual system. In this paper, we are presenting a unique intelligent electronic eye that provides road guidance to blind people while they are walking. Surrounding visual data is collected by image and obstacle sensors mounted on a helmet which the user has to put in. The data is sent to a processor which works in a line similar to our brain function. The processor analyses...
Recently, visual inertial has became popular due to its excellent result. However, the excellent result severely depends on the accuracy of estimation of initial parameters. The existing method is not effective on estimating the initial parameters and lacks the function to perform the closed loop detection, which will cause the error accumulation and low accurate estimation to system's state. In the...
This paper describes a new approach for the representation of profiles of cognitive functions. The profiles are used in introspective monitoring to keep updated the meta-level about the most relevant attributes of each cognitive function that is executed in the object-level. The profiles are called algorithmic knowledge profiles. Declarative meta-knowledge, procedural meta-knowledge and strategic...
Images are formed by counting how many photons traveling from a given set of directions hit an image sensor during a given time interval. When photons are few and far in between, the concept of image breaks down and it is best to consider directly the flow of photons. Computer vision in this regime, which we call scotopic, is radically different from the classical image-based paradigm in that visual...
Classification of SAR images is a challenging task as the radiometric properties of a class may not be constant throughout the image. The assumption made in most classification algorithms that a class can be modeled by constant parameters is then not valid. In this paper, we propose a classification algorithm based on two Markov random fields that accounts for local and global variations of the parameters...
In this paper, we proposed a novel approach called Hybrid Orientation Filter which deploys a combination of the information filter and the complementary filter to achieve accurate heading estimation. Base on this approach, a Hybrid Orientation Filter aided pedestrian dead reckoning system with utilization of the visual gyroscope is proposed and implemented on a smartphone, offering real-time indoor...
The successful deep convolutional neural networks for visual object recognition typically rely on a massive number of training images that are well annotated by class labels or object bounding boxes with great human efforts. Here we explore the use of the geographic metadata, which are automatically retrieved from sensors such as GPS and compass, in weakly-supervised learning techniques for landmark...
Machine-to-machine (M2M) communication is one of the latest technologies to support connectivity among numerous intelligent devices. The intelligence of M2M systems can be enhanced by incorporating visual sensor networks (VSNs) and utilising visual information. The conservation of energy within VSNs is one of the primary concerns for resource constrained scenarios, which can be achieved from targeted...
We propose a new framework for social-sensor cloud services selection based on spatio-textual correlation between user's query and service. The proposed research defines a formal social-sensor cloud service model that abstracts the functional and non-functional aspects of social-sensor data on the cloud in terms of spatio-temporal, textual and quality of service parameters. Proposed framework is a...
The Timed Up & Go (TUG) is one of the recommended tools in rehabilitation settings to assess the probability of falling in the elderly. However, the test does not incorporate any of the environmental or multitasking elements identified as increasing risk for falls. Older adults are more visually dependent than younger adults; thus, they are more likely to fall when visual or other distractions...
In the past decades building automation and control systems emerged from simple control systems for heating, ventilation and air conditioning facilities to complex applications covering different domains and controlling a huge number of entities. When considering complex automation systems, the whole life-cycle has to be taken into account. Besides operation, the installation and configuration is...
Visual (V) surveillance systems are extensively deployed and becoming the largest source of big data. On the other hand, electronic (E) data also plays an important role in surveillance and its amount increases explosively with the ubiquity of mobile devices. One of the major problems in surveillance is to determine human objects' identities among different surveillance scenes. Traditional way of...
Haptic sensations are a crucial aspect of everyday interaction. We touch, lift, move, and probe objects in our everyday activities. However, whilst the importance of haptic feedback has often been emphasized in gaming, haptics has been rarely used to enhance the experience in traditional (non-digital) games. In the last 50 years, technological advancement has allowed an easier access to haptic feedback...
Unmanned Aerial Vehicles (UAVs) with high level autonomous navigation capabilities are a hot topic both in industry and academia due to their numerous applications. However, autonomous navigation algorithms are demanding from the computational standpoint, and it is very challenging to run them on-board of nano-scale UAVs (i.e., few centimeters of diameter) because of the limited capabilities of their...
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