Results 261 to 270 of about 295,698 (318)

Edge detection and motion detection

Image and Vision Computing, 1986
Abstract This paper presents an integrated theory of edge detection, curvature measurement and motion detection during the earliest stages of visual processing. No assumptions are necessary about the viewed objects or about surface properties and the viewing geometry.
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Robust periodic motion and motion symmetry detection

Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), 2002
We describe a robust technique for detecting nonstationary periodic motion from a moving and static camera. We also describe a robust technique for discriminating motion symmetries (periodic motion classification), which we apply to classifying running humans (bipeds) and canines (quadrupeds). The system has been implemented to run in real-time (30 Hz)
Ross Cutler, Larry S. Davis
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Detecting motion anomalies

Proceedings of the 8th ACM SIGSPATIAL Workshop on GeoStreaming, 2017
An unsupervised methodology is presented for the detection of motion anomalies using spatial context and multivariate statistical tests. The method is applied to GPS data captured for a taxi fleet in Porto, Portugal; and, AIS data captured for ships operating in the Aegean Sea.
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Periodic Motion Detection on Patient with Motion Disorders

2008 21st IEEE International Symposium on Computer-Based Medical Systems, 2008
The proposed method serves for detecting and analysing translating and non-translating periodic motion with small oscillation from video data. Periodic motion in a video sequence is detected using principles of motion accumulation. Non-translating periodic motion is described as change of the point brightness over the time. The trajectory of the motion
Zdenka Uhríková, Václav Hlavác
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Cyclic motion detection for motion based recognition

Pattern Recognition, 1994
The motion of a walking person is analyzed by examining cycles in the movement. Cycles are detected using autocorrelation and Fourier transform techniques of the smoothed spatio-temporal curvature function of trajectories created by specific points on the object as it performs cyclic motion.
Ping-Sing Tsai, Mubarak Shah, Katharine Keiter, Takis Kasparis   +3 more
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Motion detection with nonstationary background

Machine Vision and Applications, 2002
This paper proposes a new background subtraction method for detecting moving foreground objects from a nonstationary background. While background subtraction has traditionally worked well for a stationary background, the same cannot be implied for a nonstationary viewing sensor.
Ying Ren, Chin-Seng Chua, Yeong-Khing Ho
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Human motion detection and tracking

SPIE Proceedings, 2017
Human behavior analysis in a video scene is based on motion feature extraction and recognition, many information is hidden behind gesture, sudden motion and walking, many research works tried to model and then recognize human behavior through motion analysis.
Neziha Jaouedi, Soumaya Zaghbani, Noureddine Boujnah, Mohamed Salim Bouhlel   +3 more
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