[PDF] Top 20 Human Motion Analysis via Statistical Motion Processing and Sequential Change Detection

... the change detection step, the data in each sub- sequence between the detected change points is processed for more detailed analysis of the activity in ...the motion separately, and no ... See full document

... body motion analysis has been an interesting research for its various applications, such as physical performance, evaluation, medical diagnostics, virtual reality, and human–machine ...the ... See full document

... of human motion detection with the variation on view-invariant expression, and detection of special facial expressions and ...visual analysis of human motion ... See full document

... Thresholding for image segmentation is generally made based on information contained in a gray level histogram of a given image. The aim of this approach is to identify the bottom of the histogram that positively ... See full document

... based human motion capture. Most of the approaches are known as analysis by synthesis, and are used in a predict- match-update ...ture, motion, and so ...real human actor to be ... See full document

... adaptive motion smoothening method has proposed which efficiently removes the high frequency jitters, by filtering the accumulated global motion vectors at lower computation ...of motion smoothening ... See full document

... images via the ImageJ program, was determined by the common area obtained from the overlap of the tongue’s traces during the production of the vowels /a/, /i/, and /u/, in relation to the total lingual ...no ... See full document

... the surveillance video later on he compared their equivalent RGB values. Based on their relation we can evaluate the moving-fire region. Forest Fire Detection [2] is also used to obtain a solution. In this Mamdani ... See full document

... Paying attention to the basic primary component, the uncertainty factors, that affect a value of the uncertainty itself and subsequently an extent of the risks, it is worth specifying, which impel determinants may cause ... See full document

... Feature map generation We use convolutional layers as feature transformation per frame to enable sliding- window detection over the feature maps, differently from per-window classification approaches [18, 34]. In ... See full document

... It includes any unnecessary physical motions or walking by workers which divert them from actual processing work. This might include walking around the factory floor to look for a tool, or even unnecessary or ... See full document

... areas, human identification at a distance, crowd flux statistics and congestion analysis, detection of anomalous behaviours, and interactive surveillance using multiple cameras, ...the ... See full document

... the statistical method (Feiden et ...reliable motion estimation. Based on such a motion estimation, an obstacle detection can be realized afterwards (Carlsson and Eklundh, ... See full document

... ABSTRACT: Autonomous control system is designed for fields which require minimum supervision and attention. The system is needed for protection of fields from animals particularly monkey, blue bulls, cow and elephant. In ... See full document

... image processing”, Chen et ...improve detection performance Tȍreyin et ...“Flame detection in video using hidden Markov ...fire motion, modeled as Markovian ...fire detection in video ... See full document

... body motion (most notably ...by motion capture playback and reliability analysis features (Kipp, 2012b; Kipp, ...capture motion capture data using a Kinect. Moreover, since we argue that ... See full document

... The work is described on segmentation and tracking of multiple human in complex situations. This approach can successfully handle shadow, reflection, multiple humans in one moving blob and occlusion. The ... See full document

... learning motion patterns of ...learn motion patterns, have the same number of ...The sequential information is ...of motion patterns. Anomaly detection and long- term prediction are not ... See full document

... novel motion-adaptive deinterlacing algorithm with edge-pattern recognition and hybrid motion detection is ...the processing of assorted motion, edges, textures, and the combination of ... See full document

... Therefore, taking action to reduce the chance of it happening is most vital. In this crime, prevention is a key to stop the ability and opportunity available for a criminal. Everyone has felt the incident and an ... See full document