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GoingBatty (talk | contribs) m General fixes & manual clean up, replaced: C → C (2) using AWB |
m Disambiguated: motion tracking → Video tracking, object tracking → Optical motion tracking, facial recognition → facial recognition system |
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==History==
[[File:Sample Colored Result.png|thumb|500px|The TF algorithm generates the colored background image and uses it for background subtraction.]]
People tracking from videos usually involves some form of [[background subtraction]] to segment foreground from background. Once foreground images are extracted, then desired algorithms (such as those for [[Video tracking|motion tracking]], [[Optical motion tracking|object tracking]], and [[facial recognition system|facial recognition]]) may be executed using these images.<ref name="TF" /><ref name="ITF">{{cite thesis |last=Abu|first=Patricia Angela|date=March 2015|title=Improving the Teknomo–Fernandez Background Image Modeling Algorithm for Foreground Segmentation|type=Ph.D|publisher=Ateneo de Manila University|url=https://www.researchgate.net/publication/273445070_Improving_the_Teknomo-Fernandez_Background_Image_Modeling_Algorithm_for_Foreground_Segmentation}}</ref>
However, [[background subtraction]] requires that the background image is already available<ref name="EHSV" /> and unfortunately, this is not always the case. Traditionally, the background image is searched for manually or automatically from the video images when there are no objects. More recently, automatic background generation through [[object detection]], [[medial filtering]], [[medoid filtering]], [[approximated median filtering]], [[linear predictive filter]], [[non-parametric model]], [[Kalman filter]], and [[adaptive smoothening]] have been suggested; however, most of these methods have high computational complexity and are resource-intensive.<ref name="TF" /><ref name="RTTF">{{cite conference |url=https://www.researchgate.net/publication/298791390_Modifying_the_Teknomo-Fernandez_Algorithm_for_Accurate_Real-Time_Background_Subtraction |title=Modifying the Teknomo–Fernandez Algorithm for Accurate Real-Time Background Subtraction | last1 = Abu | first1 = Patricia Angela | last2 = Fernandez | first2 = Proceso|date=March 2016| conference=Philippine Computing Science Congress}}</ref>
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