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What is Histogram of Oriented Gradient (HOG)

Handbook of Research on Emerging Perspectives in Intelligent Pattern Recognition, Analysis, and Image Processing
HOG counts occurrences of gradient orientation in localized portions of an image. HOG can be used to describe feature descriptors in computer vision and image processing for the purpose of object detection.
Published in Chapter:
Collective Event Detection by a Distributed Low-Cost Smart Camera Network
Jhih-Yuan Hwang (National Sun Yat-sen University, Taiwan) and Wei-Po Lee (National Sun Yat-sen University, Taiwan)
DOI: 10.4018/978-1-4666-8654-0.ch004
Abstract
The current surveillance systems must identify the continuous human behaviors to detect various events from video streams. To enhance the performance of event recognition, in this chapter, we propose a distributed low-cost smart cameras system, together with a machine learning technique to detect abnormal events through analyzing the sequential behaviors of a group of people. Our system mainly includes a simple but efficient strategy to organize the behavior sequence, a new indirect encoding scheme to represent a group of people with relatively few features, and a multi-camera collaboration strategy to perform collective decision making for event recognition. Experiments have been conducted and the results confirm the reliability and stability of the proposed system in event recognition.
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