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The automatic detection of anomalies in Active and Assisted Living (AAL) environments is important for monitoring the wellbeing and safety of the elderly at home. The integration of smart domotic sensors (e.g. presence detectors) and those ones equipping modern mobile robots (e.g. RGB-D cameras) provides new opportunities for addressing this challenge. In this paper, we propose a novel solution to...
This paper proposes a probabilistic approach to recover affine camera calibration and objects position/occupancy from multi-view images using solely the information from image detections. We show that remarkable object localisation and volumetric occupancy can be recovered by including both geometrical constraints and prior information given by objects CAD models from the ShapeNet dataset. This can...
We propose a method for geometric calibration of multifocus plenoptic cameras using raw images. Multi-focus plenoptic cameras feature several types of micro-lenses spatially aligned in front of the camera sensor to generate micro-images at different magnifications. This multi-lens arrangement provides computational-photography benefits but complicates calibration. Our methodology achieves the detection...
Automatic parking systems have significant effects on intelligent transport systems (ITS) and have been extensively researched. However, most existing vision-based automatic parking slot detection methods cannot obtain the desired results due to variation in light intensity or complex obstacle conditions. Besides, most previous parking slot detection methods only consider the target position occupied...
Nowadays, visual features play a key role, as they can provide a concise representation of visual data that is efficient for multiple tasks, notably content retrieval and object recognition. In parallel, visual sensors have been improving, targeting richer acquisitions of the light in a visual scene. In this context, the so-called light field cameras, which have recently emerged, are able to go beyond...
Classification of human actions is very challenging and important in many video-based applications. Two common features, i.e., the hand-crafted and the deep-learned ones are usually adopted for video representation and have been proven to be effective in many famous datasets in the literature. However, the hand-crafted feature lacks the ability to detect the discriminative and semantic features and...
Road markings are important information of transport systems for drivers or intelligent vehicle. Efficient road markings feature extraction is pre-requisite to road markings detection, recognition and visual localization. However, most of previous lane markings feature extractors are operating on conventional images, the feature extraction methods for omnidirectional images are rarely considered in...
A device for a low-to-intermediate level of gesture recognition which uses a passive thermal-infrared (PIR) sensor array is described. The detection system which discriminates between a small number of simple dynamic gestures, such as ‘hand swiping’ in different directions and at varying velocities. The technology is low powered, in terms of energy consumption and computational power. The sensor enables...
Vision-based pedestrian detection for all day are crucial in Advance Driver Assistance Systems (ADAS), autonomous vehicles and video surveillance. Based on the fact that human body radiation falls around 9.3pm, thermal images have distinctive advantages in pedestrian detection at nighttime. With the recent success of CNNs in vision community, how to properly explore information in color and thermal...
We present our design of a real-time vision-based landing pad detection and pose estimation for many Unmanned Aerial Vehicles(UAV) and implementation on Raspberry Pi. We describe the vision algorithm for precise landing pad detection and recognition and estimate the position and orientation of the UAV relative to the landing pad. The vision algorithm is robust, accurate, and computationally inexpensive...
Every human have different attributes and behaviors. In our life, many people who often lie in everything. The lie is obliged to build understanding on others, then the understanding it establishes is wrong. Indicator to knowing people is lie or not by looking at pupils, because according to the science of psychology, pupils will be dilated when the person is in a state of depression, including when...
The paper presents a new method of vehicle speed estimation using image data processing. The presented method employs conversion of greyscale input images into binary form. Image conversion into binary form is based on small gradients in the input images. Contents of the obtained binary images correspond with traffic scenes presented in the input images. Vehicle speed is estimated on the basis of...
This paper presents the current state of a novel event-based surveillance framework for real-time detection and tracking of the person-of-interest with IP PTZ network camera. Formulating the problem in a (non-linear) Bayesian filtering framework in combination with Convolutional Neural Networks (CNN), we develop dynamical and adaptive approaches for identifying the Person-of-Interest(PoI) from its...
This paper describes a novel readout integrated circuit (ROIC) for a nanoscale photoresistive image sensor array with a novel dual element readout and calibration method. The dual element readout increases detector signal sensitivity and sensor dynamic range. It works on the assumption that adjacent nanoscale detectors have similar illumination levels. A novel on-chip two-point calibration method...
In this paper we present a framework that is able to reliably and completely autonomously detect abnormal behavior in surveillance images. As input, we rely solely on a long-wave infrared (LWIR) image sensor. Our abnormal behavior detection pipeline consists of two consecutive stages. In a first stage, we perform efficient and fast pedestrian detection and tracking. In a second step, the detected...
This paper describes general considerations for the design of highly efficient and distributed room-temperature Terahertz detectors and transmitters in (Bi)CMOS technologies. It discusses the design of industrial-grade scalable terahertz imaging systems. This necessitates a deep understanding of the process technologies front-end and the back-end, as well employing innovative architectures of terahertz...
With the rapid increasing of railway mileage, automatic railway intrusion detection by analyzing the video from train-mounted camera is becoming very meaningful. But there exits serious jitter in the video since the camera always vibrates with train when it is running, a video stabilization reprocessing procedure is the prerequisite before the intrusion detection analysis. To solve this question,...
With the increasing use of unmanned aerial vehicles (UAVs) by consumers, automatic UAV detection systems have become increasingly important for security services. In such a system, video imagery is a core modality for the detection task, because it can cover large areas and is very cost-effective to acquire. Many detection systems consist of two parts: flying object detection and subsequent object...
We address the problem of people detection in top-view fisheye imaging. Even within the same top-view fisheye frame, upright people appear slanted in various directions and are distorted in different ways. Due to this variability, standard people detectors are not directly applicable to top-view fisheye frames, and dedicated people detectors for the top-view fisheye domain are hard to design. We extract...
The vibration response of a damaged bridge is known to have changed characteristics. To analyze the response, we start by collecting waveforms of the vibration immediately following the passage of a vehicle. We then need to isolate just those vibrations caused by a single heavy vehicle, if the vibration characteristics are to be accurate. In this paper, we propose a traffic-vibration analysis system...
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