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The use of surveillance cameras continues to increase, ranging from conventional applications such as law enforcement to newer scenarios with looser requirements such as gathering business intelligence. Humans still play an integral part in using and interpreting the footage from these systems, but are also a significant factor in causing unintentional privacy breaches. As computer vision methods...
In this paper we discuss and analyze possible futures for technologies in the field of computer vision (CV). Using a method we have coined speculative analysis we take a broad look at research trends in the field to categorize risks, analyze which ones are most threatening and likely, and ultimately summarize conclusions for how the field may attempt to stem future harms caused by CV technologies...
In today world the necessity for the autonomous mobile robots and vehicles is increasing. The safety autonomous moving demands the reliable and fast detection algorithms. The Histogram of Oriented Gradients (HOG) descriptors show significantly outperforms the existing feature sets for a human detection. Though the given method has a lot of type I errors. The amount of these errors can be decreased...
"STAT (U) ES" is an interactive art that enables a subjective experience of site-specificity using projectionmapping and facial recognition system. This work consists of two parts, a camera part that captures facial images and a projection part where an image of the Buddhist Sculpture is projected on wooden boxes. A viewer is first instructed to read the caption of the work and the facial...
There is an increasing trend for finding solutions to interact with computers, and computers in turn interact with people. For an effective human-computer intelligent interaction, this must be natural, the computer interpreting the user's emotional state to adapt to its behavior, giving an appropriate response to those emotions. This paper presents a software application for emotional states recognition...
We present a method to select appropriate orientations and positions of cameras by analyzing induced by centralized camera modeling, in order to construct a panoramic view system in a fire fighting vehicle.
This paper presents a six degree of freedom position regression CNN (convolutional neural network) based on Google's Inception-V4 CNN. This network is then evaluated quantitatively and compared to previous state-of-the-art position regression CNNs. Our model achieves a 22% and 51% relative improvement compared to previous state-of-the-art methods for position and orientation accuracy respectively...
In the last two decades, the increased production and installation of photovoltaic (PV) plants worldwide has asked for efficient low-cost methods for PV plant inspection to monitor their functionality and guaranteed their performance. To lower maintenance costs new systems have been thought to substitute human workers inspecting the PV plants. The employment of Unmanned Aerial Vehicles (UAVs) has...
In the paper, different variations of solving the problem of the visual odometry for a mobile robot with short-baseline stereo camera are investigated, and a conclusion on the suitability of the approaches considered is done.
Computer vision based detection can be used to identify hand gestures and movement and use these commands in order to implement a control system for a robotic platform. This paper presents the technical implementation of a hand movement and gesture detection system based on two VGA USB cameras and the control of a customizable robotic platform using the commands transmitted from a computer after image...
Face recognition is a personal identification method using biometrics that is gaining the attention in this research field. The face recognition process can be done without the human and devices interaction, so it can be applied in several applications. In additions, the face recognition systems are typically implemented at different places in unconstrained environments. Hence, the study of the factors...
We address the problem of using computer vision based techniques to collect high-level traffic parameters in dynamic, real-world environments. This is a challenging problem that has not been sufficiently studied. Specifically, with a focus on freight vehicles, we propose a comprehensive framework for monitoring freight traffic movements at any well-defined freight traffic generator, using a network...
In this work we have performed a sensitivity analysis of the Visual Position Estimator for Rover (VIPER) algorithm using data and images provided by NASA MER exploration rovers and NASA Mars Reconnaissance Orbiter. The algorithm retrieves the rover camera position and orientation relative to a Digital Elevation Model by comparing the skyline extracted from a panoramic image captured by the rover and...
This paper presents the development of an object path following algorithm for a quadcopter using on-board vision and localization. This development aims to increase capabilities of autonomous unmanned aerial vehicles (UAV), with the use of object path following. By following an object's path, reliance on obstacle avoidance strategies can be reduced, under the assumption that the object's path is free...
Recent advances in drone visual sensors and integration of complex vision algorithms, facilitate further potential, entirely disrupting in a positive way their applications and capabilities. In particular, real-time object detection, usually the initial necessary step in multiple computer vision and image processing applications, has been gaining momentum in drone- based applications. Whilst heavily...
This paper proposes a new spatio-temporal appearance feature named Phasic Maximal and Local Maximal Occurrence (PM-LOMO) representation for video-based person re-identification. To perform temporal alignment of the sequence, we selected the optimal period of walking cycle and divide frames into several phases based on the extreme points of the sequence's Flow Energy Profile (FEP). To describe the...
Automatic and accurate human upper-body detection and orientation estimation have great practical value in several computer vision applications. Most previous works on human upper-body orientation estimation assume that the human upper-body region is already detected and aligned. However, this is not the case in many real-world scenarios. Additional human detector is essential which is usually much...
In this work we developed a simulation model for spatial coordinates estimation in a photogrammetric system. We analyzed how the initial measurement errors of pixel coordinates on the sensor of a digital camera and the scene geometry influence the result errors of the 3D coordinates measured by the photogrammetric system. Our findings demonstrate the expected system's accuracy for industrial applications...
In recent years, both the RFID and computer vision technologies have been widely employed in indoor scenarios aimed at different goals while faced with respective limitations. For example, the RFID-based EAS system is useful in quickly identifying tagged objects but the accompanying false alarm problem is troublesome and hard to tackle with except that the accurate trajectory of the target tag can...
Object tracking is of prime essence and forms the initial step for many applications in computer vision. It is applied in gaming, computer user interaction and many more. In this article, a stereo-camera is used to detect object which makes it a low cost solution for object tracking. It solves the following problems of object tracking — knowing what an object is, which object to track and which not...
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