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Behavior or human action recognition is one hot research topic in real-time video surveillance system. Dangerous accidents consist of dangerous actions by one or more persons. Thus, action recognition is very important for dangerous accident recognition. If videos captured by public cameras especially dangerous actions related videos can be processed and analyzed immediately to provide an early and...
A common method to solve a multiclass classification problem is to reduce the problem to a serial binary classification problems and combine them via Error-Correcting Output Codes (ECOC). The ECOC contains three parts: coding design, decoding algorithm, and base dichotomizer. Recently, the Loss-Weighted (LW) decoding algorithm (Escalera et al., PAMI2010), which introduces a weight matrix to the Loss-Based...
In recent years, the travel time predictions have become a popular research topic. In this paper, we present a new algorithm of the travel time predictions based on the idea of using the shared traveler's positions to collect traffic conditions. Several experiments show that our algorithm has a broader applied area than existing algorithms and can provide real-time and the accurate predictions for...
Directed Acyclic Graph-Support Vector Machine (DAG-SVM) is a novel algorithm for multi-class classification. For an N-class problem, it constructs N(N-1)/2 classifiers, one for each pair of classes. Based on SVM decision function, an efficient data structure is used to express the decision node in the graph and an improved decision algorithm is used to find the class of each test sample. This new...
Nearest neighbor is the basic method in instance-based learning, which is used to approach the real and discrete objective function. In order to enhance the learning speed in nearest neighbor, the optimization of KD tree algorithm was applied in the nearest neighbor method by building the index of the training set. Proper adjustments of the inserting order of the training set can bring the tree more...
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