National Repository of Grey Literature 4 records found  Search took 0.01 seconds. 
Moving Persons Surveillance System
Hochman, Zdeněk ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
This thesis is devoted to detect moving person in video sequence. It is dealed with detect motion primarily and it is determinated by place of motion. The thesis introduces relatively new method of detection motion Local Binary Patterns, which allow quick and exact detect of motion. Inhere of  this thesis is also application for detect person. The thesis publishes tests of this application detailed and it mentiones positives and negatives of different settings application which reader can finally use at work with application.
Moving Objects Detection in Video Sequences
Hochman, Zdeněk ; Juránek, Roman (referee) ; Španěl, Michal (advisor)
This thesis deals with moving objects detection in video sequences. The principal aim of such detection is to detect and locate motion in the image, separate individual objects, and track these objects. Subsequently, to eliminate shadows, the paper introduces method of motion detection based on Local Binary Patterns together with differential method above the HSV color space. The proposed method provides rapid and accurate movement detection in video sequences.
Moving Persons Surveillance System
Hochman, Zdeněk ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
This thesis is devoted to detect moving person in video sequence. It is dealed with detect motion primarily and it is determinated by place of motion. The thesis introduces relatively new method of detection motion Local Binary Patterns, which allow quick and exact detect of motion. Inhere of  this thesis is also application for detect person. The thesis publishes tests of this application detailed and it mentiones positives and negatives of different settings application which reader can finally use at work with application.
Moving Objects Detection in Video Sequences
Hochman, Zdeněk ; Juránek, Roman (referee) ; Španěl, Michal (advisor)
This thesis deals with moving objects detection in video sequences. The principal aim of such detection is to detect and locate motion in the image, separate individual objects, and track these objects. Subsequently, to eliminate shadows, the paper introduces method of motion detection based on Local Binary Patterns together with differential method above the HSV color space. The proposed method provides rapid and accurate movement detection in video sequences.

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