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We present a novel approach to 6DOF pose estimation and segmentation of rigid 3D objects using a single monocular RGB camera based on temporally consistent, local color histograms. We show that this approach outperforms previous methods in cases of cluttered backgrounds, heterogenous objects, and occlusions. The proposed histograms can be used as statistical object descriptors within a template matching...
We present a robust algorithm for personalizing a spheremesh tracking model to a user from a collection of depth measurements. Our core contribution is to demonstrate how simple geometric reasoning can be exploited to build a shape-space, and how its performance is comparable to shape-spaces constructed from datasets of carefully calibrated models. We achieve this goal by first reparameterizing the...
Recently, there has been an increasing number of attempts to analyze sport activities through the combination of sports science and ICT technology. In the case of soccer, several leading companies have already developed tracking techniques for players to automatically acquire sports analysis data. However, the automatic extraction of event data for analyzing the sports games is limited to the level...
The purpose of the article is to outline the futuristic vision of Industry 4.0 in intra-logistics by creating a hybrid network for research and technologies thereby providing a detailed account on the research centre, available technologies and their possibilities for collaboration. Scientific challenges in the field of Industry 4.0 and intra-logistics are identified due to the new form of interaction...
The availability of affordable Micro Aerial Vehicles (MAVs) opens up a whole new field of civil applications. We present an Infrastructure for Compact Aerial Robots Under Supervision (ICARUS) that realizes a scalable low-cost testbed for research in the area of MAVs starting at about $100. It combines hardware and software for tracking and computer- based control of multiple quadrotors. In combination...
This paper describes a face recognition-based people tracking and re-identification system for RGB-D camera networks. The system tracks people and learns their faces online to keep track of their identities even if they move out from the camera's field of view once. For robust people re-identification, the system exploits the combination of a deep neural network- based face representation and a Bayesian...
This paper presents an indirect user interface solution for an active walking aid using visual image sensing. The aim of the design is to track the movement of the human feet in order to obtain command signals for driving an active walker to be seen as a robotic rollator. The human gait becomes the input device by which the user controls the actuators of the robotic rollator. Computer vision techniques...
Human motion tracking, which requires both motion sensing hardware and algorithms based on computer vision, is an enjoyable and active research area with diverse applications. As a depth sensor device Kinect is a famous hardware component for this task. In this work, we studied using more than one Kinect camera to obtain better motion tracking which is applicable for motion capture. We synthetically...
In recent years, fields such as industrial automation, virtual and augmented reality and autonomous robotics increased the demand for location-awareness of electronic devices. Image sensor based inside-out localization and tracking systems are sufficiently accurate to determine the position and orientation of electronic devices. Without additional sensors however, these systems are impaired in reaching...
This paper proposes a new background subtraction method by a moving camera for the object detection. Key points are firstly extracted and tracked. From the tracking results, spatial transformation relationships for the background scenes in consecutive frames are obtained while the current frame is warped to the previous image plane for the camera movement compensation. A codebook background model...
Unsupervised segmentation of action segments in egocentric videos is a desirable feature in tasks such as activity recognition and content-based video retrieval. Reducing the search space into a finite set of action segments facilitates a faster and less noisy matching. However, there exist a substantial gap in machine's understanding of natural temporal cuts during a continuous human activity. This...
Augmented Reality (AR) is an emerging field, which is evolving exponentially. Its concept is to coalesce the virtual world into the real world. The augmented reality intent to enhance our perception of the real world by integrating virtual objects. The existing Augmented Reality Hand gesture control systems detect hand gesture and embed the virtual object in augmented reality using markers and motion...
Accurate motion capture and flexible retargeting of underwater creatures such as fish remain to be difficult due to the long-lasting challenges of marker attachment and feature description for soft bodies in the underwater environment. Despite limited new research progresses appeared in recent years, the fish motion retargeting with a desirable motion pattern in real-time remains elusive. Strongly...
Experiments play a vital role in science education. In high school physics, especially in mechanics, many experiments are conducted where tracking a single or multiple objects are required. In most situations students visually observe the motion of objects and take the measurements. This manual method is time consuming, generates higher error and incapable of producing multiple readings rapidly. The...
For the understanding of the dynamics inside crowds reliable empirical data are needed. On that basis the safety and comfort for pedestrians can be increased and models reflecting the real dynamics can be designed. For that purpose we are developing the free framework PeTrack collecting data from laboratory experiments. With the new integration of the detection of individual codes the presented framework...
People with impairment and having difficulties to walk, even impossible to move due to illness, injury, or disability need assistance tool. One assistance tool to help those people is wheelchair. With current technological developments, conventional wheelchair can be improved. Conventional wheelchair which operated by hand cannot be used by people with hand-foot impairment, as well as electric-powered...
Appearance based multi-object tracking (MOT) is a challenging task, specially in complex scenes where objects have similar appearance or are occluded by background or other objects. Such factors motivate researchers to propose effective trackers which should satisfy real-time processing and object trajectory recovery criteria. In order to handle both mentioned requirements, we propose a robust online...
In this paper we would describe a vehicle detection technique that can be used for traffic surveillance systems. An intelligent traffic surveillance system, equipped with electronic devices, works by communicating with moving vehicles about traffic conditions, monitor rules and regulations and avoid collision between cars. Therefore the first step in this process is the detection of cars. The system...
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,...
In most of the scenarios, accidents occur due to the carelessness of the driver. To reduce the accidents sharing of the vehicle's dynamics information is essential. The primary vehicle uses several sensors to collect information which were transmitted to the next subordinate vehicles that follow it. For communicating huge data between vehicles we need a Multiple Input Multiple Output Radio Frequency...
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