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This paper proposes a computationally efficient method for traffic sign recognition (TSR). This proposed method consists of two modules: 1) extraction of histogram of oriented gradient variant (HOGv) feature and 2) a single classifier trained by extreme learning machine (ELM) algorithm. The presented HOGv feature keeps a good balance between redundancy and local details such that it can represent...
Target tracking is a challenging task in computer vision. It aims to detect and track particular objects in sequences. Illumination variation, motion of target, occlusion and background clutter make target tracking extremely challenging. We propose an novel online target tracking method which based on extreme learning machine(ELM). This tracking method consists of three modules: training, tracking...
The agricultural production video record is an important primitive data in the establishment of agricultural product quality traceability system and digital monitoring system. This paper presents the feature extraction and automatic recognition system of the typical production activities in the agricultural production video record based on the machine learning theory. The system consists of the feature...
Target tracking is one of the important tasks in computer vision. It aims to detect and track one or more particular objects in videos. The target and background may change in the process of tracking. In order to solve this problem, this paper proposes an online learning target tracking method based on extreme learning machine (ELM). First of all, we capture the target and background regions in the...
This paper proposes a hierachical method for traffic sign detection by employing extreme learning machine (ELM) whose infrastructure is a single-hidden-layer feedforward network. This proposed method consists of three modules: Coarse detection module, fine detection module and candidates clustering module. Histogram of oriented gradient (HOG) and color histogram are used as features of signs. This...
The UAV remote sensing images due to its access to convenient, high resolution, low cost, low risk advantage has been more widely studied and applied to various field. However, due to the characteristics of complex, gray inconsistent, the larger distortion of UAV remote sensing image texture itself, which results the extraction of its characteristics to become one of the difficulties. In this paper,...
As an important component of the driver assistance system or autonomous vehicle, traffic-sign recognition can provide drivers or vehicles with safety and alert information about the road. This paper proposes a new method for the task of traffic-sign recognition by employing extreme learning machine (ELM) whose infrastructure is a single-hidden-layer feed-forward network. This method includes two stages:...
Heterogeneous CAD data exchange is very important in collaborative product development and also extremely difficult. Feature-based data exchange has many advantages than traditional geometry-based data exchange. According to the framework of procedure recovery in feature-based data exchange, this paper discusses the key issues of feature extraction and reconstruction, including the extraction of first-order...
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