Abstract
Algorithms that are highly accurate against object categories that have a sufficiently static shape such as HoG are incapable of recognizing the targets that have a highly articulated figures such as human beings which are the main case of search and rescue missions. In our study, we have implemented a version of DPM that reaches high accuracy and speed when it comes to find these kind of targets in digital images as a part of our goal to bring in the capability of computer vision to our autonomous search and rescue robot.
Keywords
Computer science
Computer vision
Artificial intelligence
Object detection
Search and rescue
Object (grammar)
Robot
Pattern recognition (psychology)
Subject Areas
Advanced Image and Video Retrieval Techniques
·Computer Vision and Pattern Recognition ·Physical Sciences
Advanced Neural Network Applications
·Computer Vision and Pattern Recognition ·Physical Sciences
Robotics and Sensor-Based Localization
·Aerospace Engineering ·Physical Sciences
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