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In this paper, we use a advanced method called Faster R-CNN to detect traffic signs. This new method represents the highest level in object recognition, which don't need to extract image feature manually anymore and can segment image to get candidate region proposals automatically. Our experiment is based on a traffic sign detection competition in 2016 by CCF and UISEE company. The mAP(mean average...
Over the past years, automatic traffic accident detection (ATAD) based on video has become one of the most promising applications in intelligent transportation and is playing a more and more important role in ensuring travel safety. This paper proposes a classifier-based supervised method by viewing the last seconds before motor vehicle collisions as the detection target. In our method, we devise...
In this paper, a simple fault feature extraction method based on symbolic dynamics entropy is proposed for multiple electrical faults diagnosis in an electro-mechanical actuator. The symbolic dynamics feature is calculated from a time series, which is extracted from the dc-link current of the actuator. Comparing with other fault feature extraction scheme, this method has some advantages such as simpler...
In this paper, an embedded speaker-independent isolated word speech recognition module based on STM32F103C6T6 (STM32) is designed. The speech recognition algorithm includes: voice signal pre-processing, feature extraction and recognition. In addition, a communication module is designed based on the STM32 for receiving control commands from computer by universal serial bus. The result is that we realize...
This paper mainly proposes a deep learning method-Stacked Denoising Auto Encoder (SDAE) to solve the problems of automatic feature extraction and dimension reduction in Braille recognition. In the construction of a network with deep architecture, a feature extractor was trained with unsupervised greedy layer-wise training algorithm to initialize the weights for extracting features from Braille images,...
A hierarchical scheme for elastic graph matching applied to hand gesture recognition is proposed. The proposed algorithm exploits the relative discriminatory capabilities of visual features scattered on the images, assigning the corresponding weights to each feature. A boosting algorithm is used to determine the structure of the hierarchy of a given graph. The graph is expressed by annotating the...
This paper presents the satellite television remote control system based on brain-computer interface. The Brain Controlled Satellite Television Remote System (BCSTRS) is a real time system that can help the patients suffering from Amyotrophic Lateral Sclerosis (ALS) to select TV channels or adjust volume using their brain waves. In this paper we propose an algorithm including data acquisition and...
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