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Detecting and Classifying Dominant Crowd Movements through Particle Advection
(IEEE, 2016)
Today, trying to understand what kind of behaviour the crowd shows by studying the data from surveillance systems is an important topic for researchers of computer vision. The aim of this study make the motion data that ...
Determining Complexity within the Crowd Movements
(IEEE, 2018)
The segmentation of the moving and non-moving parts in an image within the crowd analysis studies is a crucial result in terms of understanding the behaviour. However, in many studies carried out, moving areas are assessed ...
3D Palmprint Pose Estimation Using Stereo Camera
(IEEE, 2013)
Although studies on the palm recognition systems achieving are high performance ratios, hygiene problems in contact systems and change of hand pose in contactless systems were encountered. 3D recognition systems is proposed ...
Improvement of Palmprint Coding Techniques with Feature Descriptors
(IEEE, 2015)
In recent years, biometric palmprint recognition system is one of the preferred research areas due to reach high accuracy even with the low resolution cameras. In recent studies conducted in this area, especially due to ...
Observing the Entropy of Crowd Movements
(IEEE, 2017)
Providing security and managing it as well as trying to understand how it behaves have become an important research topic in our day. The aim of this study is to calculate the entropy value of the crowd movement regionally ...