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A primary-side output current estimator with process compensator for the flyback control circuits is designed and analyzed in this investigation. Flyback control circuits play a key role of smart lighting systems, where LED drivers require a compensator to keep the system stable. The process sensor is in charge of the detection of the chip process corner. Then, the process compensator correspondingly...
Face detection is a vital step in the process of extracting semantic information about the driver's state, such as distraction and fatigue, from pixel values in images looking at the driver. Therefore, in the context of time and safety critical situation like driving, efficient use of time and reliable detection of faces is essential. While challenges like lighting and occlusion are prevalent in the...
Extracting hand regions and their grasp information from images robustly in real-time is critical for occupants' safety and in-vehicular infotainment applications. It must however, be noted that naturalistic driving scenes suffer from rapidly changing illumination and occlusion. This is aggravated by the fact that hands are highly deformable objects, and change in appearance frequently. This work...
The driver's face is key to a less intrusive method to monitoring the driver to derive information such as distraction, drowsiness, intent, and where they are looking. A vital step in extracting these higher level information is to find the driver's face and individual components such as eyes, nose and mouth, along with the direction they are facing towards. In the context of safety critical situation...
A novel flyback light emitting diode (LED) driver with adaptive switching frequency for smart lighting is proposed in this investigation. Switching loss and severe harmonic distortion of conventional flyback LED drivers when the LED is operating in high switching frequency and high voltage are resolved. The proposed flyback LED driver design auto-adjusts the switching frequency by detecting the conduction...
Detecting an abandoned object in crowded scenes of surveillance videos becomes more complex task due to occlusions, lighting changes, and other factors. In this paper, a new framework to detect abandoned object using dual background model subtraction is presented. In our system, the adaptive background model is generated based on statistical information of pixel intensity that robust against lighting...
Intelligent “street lighting”, along with its immense energy saving potential, relies upon many factors, not least, the importance of maintaining useable levels of light for both vehicles and pedestrian traffic. One element in the establishment of such a regime is the development of sensory equipment capable of vehicle and human detection with a negligible degree of error. The paper proposes a hybrid...
Practical surveillance systems deployed in urban scenarios need to operate 24/7 under a wide range of environmental conditions. As modern video analytics shift from blob-based to object-centered architectures, appearance-based object detection under different weather conditions and lighting effects emerges as a critical yet largely unaddressed problem. This paper investigates this research topic,...
Understanding the intention of other road users is a key requirement for autonomous driving. In this regard, one particularly relevant cue is a flashing turn signal, since it gives an important hint regarding the intended driving direction of another vehicle in the next few seconds. As such, turn signals can be considered as one of the first methods invented for car-to-car communication. In contrast...
This paper describes a novel obstacle detection system for autonomous robots in agricultural field environments that uses a novelty detector to inform stereo matching. Stereo vision alone erroneously detects obstacles in environments with ambiguous appearance and ground plane such as in broad-acre crop fields with harvested crop residue. The novelty detector estimates the probability density in image...
A novel system for detection and tracking of vehicles from a single car-mounted camera is presented. The core of the system are high-performance vision algorithms: the WaldBoost detector [1] and the TLD tracker [2] that are scheduled so that a real-time performance is achieved. The vehicle monitoring system is evaluated on a new dataset collected on Italian motorways which is provided with approximate...
We address the problem of learning robust and efficient multi-view object detectors for surveillance video indexing and retrieval. Our philosophy is that effective solutions for this problem can be obtained by learning detectors from huge amounts of training data. Along this research direction, we propose a novel approach that consists of strategically partitioning the training set and learning a...
We present a novel visual obstacle detection and tracking system based on stereo vision. A robust stereo matcher, an obstacle detector and a tracker module are implemented and tested under actual driving conditions. Implemented system shows reliable range estimation, detection and tracking performance. Our system has showed 82.4 percent correctly detected rate in complex traffic situations.
In using image analysis to assist a driver to avoid obstacles on the road, traditional approaches rely on various detectors designed to detect different types of objects. We propose a framework that is different from traditional approaches in that it focuses on finding a clear path ahead. We assume that the video camera is calibrated offline (with known intrinsic and extrinsic parameters) and vehicle...
Vehicle flow detection plays an important role in ITS. In the process of vehicle flow detection, the vehicle is contiguous with another and the same vehicle counted repeatedly are common problems, especially the problem of changing lanes, which is very difficult to solve. This paper uses the method that combines background difference and virtual-loop sensor to detect vehicle flow, which based on the...
Rapid prototyping allows for evaluation of design product in a short period of time. Designers or CEOs may perceive the size and appearance of the product by touching the automatically constructed physical objects produced through rapid prototyping. However, it is usually impossible to change its color, texture, and user interface. In this paper, we introduce 'Augmented Reality based Re-formable Mock-up',...
Accurate visual object tracking through long sequences is a challenging task since object's appearance changes and complex motion happens. We present mixture motion model and incorporate observation model within the Monte Carlo framework to achieve robust visual tracking. The mixture motion model which employs important history motion information of the target is built according to a motion measurement...
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