Image Processing Reference
mentioned differential equation for a set of neighboring pixels together by using a weighted
low equations. Global smoothness concept is also used as well as the Horn-Shunck method.
is analyzed according to time-space complexity and its tradeoff. Harris and Stephens Proes-
based motion descriptors.
4.2.2 Region-Based Matching
Region-based matching approaches alternate the differential techniques in case diferentiation
based matching, the concepts such as velocity and similarity are defined between image re-
mends a method based on sum of squared distance computation.
4.2.3 Energy-Based Methods
a plane in frequency space. Gabor filtering is used in the energy calculations.
4.2.4 Phase-Based Techniques
Diferent from energy-based methods velocity is defined as filter outputs having phase beha-
5 Optical flow-based segment representation
In this study, an optical flow-based temporal video information representation is proposed.
Optical flow vectors are needed to be calculated for the selected sequential frames. Optical
flow estimation is important as the basic element of the model is optical flow vectors. As men-
tioned in Section 4 , detection of features and estimation of optical flow according to these fea-
tures are the main steps of optical flow estimation. The methods and approaches for both steps
5.1 Optical Flow Estimation
it is mentioned before, Shi-Tomasi algorithm is based on Harris corner detector [ 40 ] and inds
corners as interest points. Harris matrix shown in Equation (10) is obtained from the Harris