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Recent years, many vision-based vehicle detection methods have been proposed. But just a few of them paid attention to vehicle type classification in a real-time video, which is an important part in intelligent traffic system. The Haar features and Histograms of Oriented Gradients (HOG) features have been proposed as useful features for vehicle detection(More)
The ant colony algorithm is a mature and effective method to solve the problem of optimizing shortest path, which is one of the key technologies for robot navigation and path planning. But the algorithm often fails into precocity easily and can't get the global best result. This paper proposes an improved ant colony optimization algorithm by dynamically(More)
At present, many supermarkets are still using the traditional shopping cart and bar code scanning. This shopping mode will make clients feel tired to push cart forward and waste much time on waiting in line. This paper presents the design and implementation of a new application - an intelligent shopping cart. This cart can accurately follow its master by(More)
The Pedestrian detection using Histograms of Oriented Gradients (HOG) is the most popular method to detect a human from a picture. However, it, calculates the HOG description, will cost too much time and can't meet the real-time request for detecting pedestrian from the video surveillance system. In this paper we present a novel algorithm for detecting a(More)
Understanding the transformation and chronological accumulation of phosphorus (P) forms under typical hydrodynamic conditions of a lake is important for clarifying the process of lake evolution and eutrophication. The occurrence and distribution of sediment P fractions (total, TP; inorganic, IP; and organic, OP), phytate content, and phytase activity at(More)
In video surveillance, there are a variety of random disturbances on moving target detection, such as trees sway, camera shake. In order to eliminate these disturbances, this paper presents a novel moving object detection algorithm based on the properties of corner points. Firstly, this paper uses Harris algorithm to detect corner on the video image, and(More)
In this paper, we present a mobile agent based software architecture for home telemonitoring network. The system mainly contain 4 components: end monitoring node, relay station, doctor workstation, and manufacturer server. The manufacturer created mobile code is transferred from the manufacturer server to the relay station or the doctor workstation for(More)
Moving shadow detection and removal are key steps for motion detection algorithm. But by far most of the traditional methods, relying solely on single information, can not eliminate shadow effectively. This paper describes a mixed approach to deal with the shadow of the foreground objects from video surveillance. Firstly, a new description of local texture(More)
In order to recognizing the feature of abnormality in advance and fix the possible dirty data simultaneously, this article proposed a method to construct a proper mode for a production process producing specific product, a method to estimate the stability of a linear process and a group of data cleaning rule. Both the data processing procedure and algorithm(More)
Classifying electroencephalogram (EEG) signals is one of the most important issues on motor imagery-based Brain computer interfaces (BCIs). Typically, such classification has been performed using a small training dataset To date, most of the classification of the algorithms were proposed for large samples. In this paper, a combination of Rayleigh(More)