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Vehicle detection is critical operation in automotive active safety systems. Although there are a number of vehicle detection techniques available in literature, computationally efficiency for realization on embedded platforms is not explored and addressed in most existing works. In this paper, we present a computationally efficient vehicle detection algorithm that is particularly designed for architectural...
This paper presents a technique for real time human hand gesture recognition system for automatic tap operation. Hand gesture recognition based machines have been widely developed in recent years. Most of the techniques use skin color models due to its robustness and simplicity. In this work there are two major steps for achieving this goal: firstly, the detection of skin color and secondly, the classification...
This paper describes human classifiers that are 'viewpoint specific', meaning specific to subjects being observed by a particular camera in a particular scene. The advantages of the approach are (a) improved human detection in the presence of perspective foreshortening from an elevated camera, (b) ability to handle partial occlusion of subjects e.g. partial occlusion by furniture in an indoor scene,...
With the rapid advancement of eCommerce, it has become a common trend for customers to write reviews about any product they purchase. For certain popular products, such as cell phones, laptops, tablets, the number of reviews can be hundreds or even thousands, making it difficult for potential customers to identify specific aspect based overview of the product (for example, screen, camera, battery...
In this paper, we present a solution to generate semantically richer descriptions and instructions for driver assistance and safety. Our solution builds upon a set of computer vision and machine learning modules. We start with low-level image processing and finally generate high-level descriptions. We do this by combining the results of the image pattern recognition module with the prior knowledge...
The visually impaired people lack visual information to realize the obstructions and obstacles in their path thus making it difficult for them to perform their day-to-day tasks comfortably and efficiently. Digital assistance techniques have proven to be a boon for these visually challenged sections of the society. Detection of an obstacle free-path for an easier and smooth navigation of visually impaired...
The state-of-the-art person identification and verification technologies require apparent human biological features as inputs explicitly. In many special scenarios, however, it is impossible to obtain the apparent human biological features since such features usually require intrusive human interaction directly. In this paper, we have proposed a hierarchical skeleton feature model (HSFM) for person...
In the past 5 years, people re-identification has been a popular topic as an application using computer vision techniques. Among the models used for people re-identification, soft-biometric traits based models have great potential due to the semantic meaning and robust performance they have. In this paper, we will exploit the performance of supervised learning based method on the detection of three...
In this era of web applications, web shopping portals have become increasingly popular as they allow customers to buy products from home. These websites often request the customers to rate their products and write reviews, which helps the manufacturers to improve the quality of their products and other customers in choosing the right product or service. The rapid increase in the popularity of e-commerce...
This paper addresses two contributions for improving the accuracy and speed of preceding car detection systems. First, it proposes a feature description using Scalable Histogram of Oriented Gradient (SHOG) to solve scale problem of car region on the image. Without resizing the images to a fixed size, it is capable to extract a high-discriminated features with on the same feature space. Second, instead...
This paper presents the development of a wearable wireless interface based on brain activity and eye movement. A low-cost electroencephalogram (EEG) headset to read human intention is combined with a custom-built eye-gaze tracker to track eye movement. This wireless, wearable interface addresses limitations in previous hybrid interfaces by restoring freedom of movement. The proposed interface allows...
Video Capsule Endoscopy (VCE) was invented in the year 2000 and rapidly became one of the most popular noninvasive non-surgical inspection techniques in the diagnosis of gastrointestinal (GI) tract, especially in small intestine. A critical issue of capsule endoscopic examination is to determine the location and size of polyps. A critical problem associated with capsule endoscopic examination is to...
In this paper, a household electric appliance remote controller operated without touching it is proposed. A prototype was prepared in order to evaluate the effectiveness of the proposed method.
This paper describes a car detection method by combining data obtained from a laser and a camera. Data from the camera and the laser range finder (LRF) are combined after a calibration method has been performed. The calibration method defines the relative pose between camera and LRF. Car candidates are then extracted from the LRF data. The car candidate regions on the image are generated based on...
This paper describes a monocular vision system for humanoid robots designed and built to compete in the Robo Cup Humanoid Kid Size League. The proposed vision system allows the robots to track a ball, identify goals, field lines, team mates and opponents, providing information such as distances and estimated location for the robots simultaneously, using threads. With experiments using the real robots...
In order to determine the 3D motion of a point target from a monocular moving camera, a locating method is proposed by taking advantage of the property that the positions of the target in a short time are relative to each other and the kernel trick of least squares support vector machine (LS-SVM). This method has better noise immunity due to its robust estimation property, and has high accuracy as...
The focus of this work is addressing the challenges of performing object recognition in real world scenes as captured by a commercial, state-of-the-art, surveying vehicle equipped with a 360° panoramic camera in conjunction with a 3D laser scanner (LIDAR). Even with state-of-the-art surveying equipment, there is colour saturation and very dark regions in images, as well as some degree of time-varying...
High accuracy pedestrian detection plays an important role in all intelligent vehicles. This paper describes a system for detecting the obstacles in front of the vehicle and classifying them in pedestrians and non-pedestrians. It acquires the traffic scenes using a low-cost pair of gray intensities stereo cameras. A SORT-SGM stereo-reconstruction technique is used in order to obtain high density and...
In this paper, a LiDAR based vehicle detection approach is proposed with the goal of utilizing range information. The proposed approach is based on two phases: a hypothesis generation phase to generate the potential regions and a hypothesis verification phase to recognize the corresponding vehicles. In contrast to appearance based vehicle detection systems, the proposed approach solely relies on the...
This paper proposes a simple spatial feature combined with temporal characteristics to classify human interactions from surveillance cameras, which are far from the action scene. For the first stage, data is collected from a horizontal view. Then, the history of distance between two persons is stored during time as a temporal feature called distance signature. We use Spatio-Temporal Interest Points...
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