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There are many ideas to enhance the safety riding. Advanced Driver Assistance System (ADAS) is a system to help the driver more safety. ADAS has a purpose to assist and direct the driver in order to improve traffic safety. Traffic sign recognition is one important part of ADAS. Traffic sign is a warning sign which placed at the side or above the road to provide detail road information to the driver...
Among the human related factors, aggressive driving behavior is one of the major causes of traffic accidents [17]. On the other hand, detection and characterization of driver aggressiveness is a challenging task since there exist different psychological causes behind it. However, information about the driver behavior could be extracted from the data that is collected via different sensing devices...
This paper considers visual feature selection and its regression to estimate the position of a vehicle using an omnidirectional camera. The Gaussian process (GP)-based localization builds on a maximum likelihood estimation (MLE) with a GP regression from optimally selected visual features. In particular, the collection of selected features over a surveillance region is modeled by a multivariate GP...
In this paper, we proposes a visual-based vehicle classification system, in which it involves visual feature representation and classification step. In the feature representation step, we present a center enhanced spatial pyramid matching (CE-SPM) to extract the feature from images. In this work, we defined additional region in the center of each images to calculate the histograms of visual words...
Obstacle detection for advanced driver assistance systems has focused on building detectors for only a few number of object categories so far, such as pedestrians and cars. However, vulnerable obstacles of other categories are often dismissed, such as wheel-chairs and baby strollers. In our work, we try to tackle this limitation by presenting an approach which is able to predict the vulnerability...
In this study, in order to develop the lane keep assistance using expansion of body schema by combination of TENS (Transcutaneous electrical nerve stimulation) and view information, the effect to the driving skill on each condition is verified. In the six mode (2 visual × 3 stimulus), participant drive the test course. In the end, it is clearly that driving skill was positively affected by TENS and...
Logo identification and classification have received considerable attention from both the machine learning and computer vision communities. Vehicle logo recognition (VLR) is used to recognise accurately the manufacturer of a vehicle by using its iconic logo. A VLR system in addition to license plate recognition aims to increase the confidence of vehicle monitoring systems in private environments such...
This paper presents a fast vehicle recognition and vehicle retrieval system based on “bag of words”. In this system, the input is an image of vehicle and the vehicle will be identified automatically, it can also retrieve images which are similar to the input image. 3742 vehicle images which include 28 types of vehicles are collected as the image database. Features of these images are extracted and...
The incidence of traffic accidents during nighttime is higher than daytime; hence the clues from nighttime images are urgently needed. However, the light source from a camera works only for certain distance, resulting in the defect of underexposure. In this paper, we present a high dynamic range imaging method for vehicle images under a nighttime environment. The idea consists of three steps based...
Modern fleet management systems typically monitor the status of hundreds of vehicles by relying on GPS and other simple sensors. Such systems experience significant problems in cases of GPS glitches as well as in areas without GPS coverage. Additionally, when the tracked vehicle is stationary, they cannot discriminate between traffic jams, service stations, parking lots, serious accidents and other...
The recognition of vehicle manufacturer logo is a crucial and very challenging problem, which is still an area with few published effective methods. This paper proposes a new fast and reliable system for Vehicle Logo Recognition (VLR) based on Bag-of-Words (BoW). In our system, vehicle logo images are represented as histograms of visual words and classified by SVM in three steps: firstly, extract...
In this paper, a clustering method of adjacent frames is proposed for vehicle flow statistics to overcome the fault of low robustness of video-based detection algorithms in complex environments. In the method, the boundaries of the abrupt or gradual visual content changing in consecutive video frames are described by color and intensity histogram method. The clustered frames containing different vehicles...
Tracking-by-detection is an attractive paradigm for intelligent visual surveillance applications where clutter, lighting variations, target overlap and occlusions hamper conventional background modeling. However, state-of-the-art vehicle and pedestrian detectors based on discriminative classification are too computationally expensive for real-time implementation on embedded smart cameras. This paper...
In this paper, a Quasi-shot Segmentation Vehicle Detection (QSVD) method is proposed to improve the accuracy and robustness of traffic flow detection. The QSVD method is based on histogram intersection method to find the biggest difference between successive frames. Adjacent frames are considered in when vehicle is detected in current frame. Relying on the QSVD method, vehicle can be detected by signal...
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