A tracking system, also known as a locating system, is used for the observing of persons or objects on the move and supplying a timely ordered sequence of location data for further processing.Applications
A myriad of tracking systems exists. Some are 'lag time' indicators, that is, the data is collected after an item has passed a point for example a bar code or choke point or gate. Others are 'real-time' or 'near real-time' like Global Positioning Systems (GPS) depending on how often the data is refreshed. There are bar-code systems which require items to be scanned and automatic identification (RFID auto-id). For the most part, the tracking worlds are composed of discrete hardware and software systems for different applications. That is, bar-code systems are separate from Electronic Product Code (EPC) systems, GPS systems are separate from active real time locating systems or RTLS for example, a passive RFID system would be used in a warehouse to scan the boxes as th
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The goal of VR is to embed the users in a potentially complex virtual environment while ensuring that they are able to react as if this environment were real. The course provides a human perception-action background and describes the key programming techniques for achieving efficient VR applications
This course provides an introduction to the topic of entrepreneurship, the process of new firm creation and the commercialization of technologies. The course integrates theories of entrepreneurship with a practical, process-based project in which students develop a business concept in teams.
Surveillance is the monitoring of behavior, many activities, or information for the purpose of information gathering, influencing, managing or directing. This can include observation from a distanc
Virtual reality (VR) is a simulated experience that employs pose tracking and 3D near-eye displays to give the user an immersive feel of a virtual world. Applications of virtual reality include enter
Mass surveillance is the intricate surveillance of an entire or a substantial fraction of a population in order to monitor that group of citizens. The surveillance is often carried out by local and fe
The cameras are invented by imitating the human visual system to capture the scene. The camera
technologies have been substantially advanced in recent years. 108 MP resolution with 100x hybrid
zoom has become standard features for smartphone flagships. In spite of the recent developments, the
cameras are still restricted in terms of FoV, depth perception, pixel size, lens system, and more.
That is why multicamera systems have progressively become prevalent. The multicamera systems can be a remedy to overcome the limitations that single cameras hold. The FoV can be raised to 360∘
through image stitching. The depth can be computed by stereo matching methods. The lens flaws and
imperfections can be handled thanks to computer vision and image processing algorithms. Significant
computational power is required to process a vast amount of pixels coming from multiple cameras. GPU
and FPGA are promising platforms to implement computer vision and video processing applications due
to their sophisticated parallelization features. FPGA platforms present more prevailing features,
especially for real-time and portable vision applications. FPGAs provide less latency as they hold
the connection to image sensors from a low level. FPGA enables the implementation of a system
architecture dedicated to the target application. The compact systems can be designed by designing
custom PCBs using only necessary ports. Also, FPGAs consume lower power and cheaper option compared to GPUs. On the other hand, GPUs propose more versatility and easy design and upgrade time. In the
light of these observations, software and hardware integrated real-time high-resolution multi-view
3D and panoramic systems are presented in the scope of this thesis.Firstly, the depth estimation system is presented in the first part of the thesis. The proposed
depth estimation system runs in real-time performance for up to 2K depth map resolution. The system
adopts the trinocular scheme to address the occlusion problem. The pixel correspondence challenge in
textureless-regions, from which the conventional stereo matching-based depth estimation systems
suffer, is tackled by projecting artificial patterns through the integrated pico-projector. The
application-specific system architecture ensures the high-performance depth map streaming.Secondly, the drone detection and tracking system is presented. The proposed drone detection system
is capable of simultaneously monitoring 360° environment and detecting the drone from a
long-range in real-time performance. The distributed architecture design enables
ultra-high-resolution image processing.
data coming from the hardware part. The GPU design is opted due to its high level of parallelization
capability. The proposed system is appropriate to be employed for surveillance applications such as
drone detection, passive radar system, vast terrain, and border control applications.Thirdly, the 3D stereoscopic panorama construction system is presented. The proposed system
generated 2 separate panoramas for the left and right eyes to achieve 3D perception. The system
offers the novel camera arrangement and the 3D panorama generation algorithm. The cameras are
positioned to minimize the intra-panorama parallax while raising the inter-panorama parallax to
augment 3D perception.Finally, the real-time vision systems are discussed with their pros and cons, and future predictions
are presented in the conclusion part of the thesis.
EPFL2020
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This article presents the text-independent speaker detection and tracking systems developed by the members of the {ELISA} Consortium for the {NIST'99} speaker recognition evaluation campaign. {ELISA} is a consortium grouping researchers of several laboratories sharing software modules, resources and experimental protocols. Each system is briefly described, and comparative results on the {NIST'99} evaluation tasks are discussed