Robust real-time periodic motion detection, analysis, and applications
… periodic motion, the self-similarity measure is also periodic and we apply Time-Frequency
analysis to detect and characterize the periodic … ) periodic motion, which approximates many …
analysis to detect and characterize the periodic … ) periodic motion, which approximates many …
Partial and approximate symmetry detection for 3d geometry
… to be considered when detecting and extracting symmetric … While fewer samples are sufficient
for detecting large global … the symmetries of the repetition pattern through a basis reduction …
for detecting large global … the symmetries of the repetition pattern through a basis reduction …
Principles of visual motion detection
A Borst, M Egelhaaf - Trends in neurosciences, 1989 - cell.com
… motion detection in various ways. To what extent do biological motion detectors approximate
any of … on- and off-regions 29'37) to the motion of periodic patterns are modulated in time …
any of … on- and off-regions 29'37) to the motion of periodic patterns are modulated in time …
Automated crack detection on concrete bridges
… We present a novel automated crack detection algorithm, the STRUM (spatially … For
example, notice that an approximate periodic global pattern of cracking is detectable in Fig. 13. …
example, notice that an approximate periodic global pattern of cracking is detectable in Fig. 13. …
Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy
H Ocak - Expert Systems with Applications, 2009 - Elsevier
… Epileptic seizure detection techniques can be divided into five categories: time domain …
The time domain method proposed by Liu et al. searches for periodic, rhythmic patterns in EEG …
The time domain method proposed by Liu et al. searches for periodic, rhythmic patterns in EEG …
Fast feature pyramids for object detection
… our approximation yields considerable speedups with negligible loss in detection accuracy.
… -spaced feature pyramid followed by approximating detector responses at nearby scales, …
… -spaced feature pyramid followed by approximating detector responses at nearby scales, …
Incident detection algorithm using wavelet energy representation of traffic patterns
… 3 ie, j 3 wavelet approximation dashed line. Notice how the shape of the wavelet approximation
is distorted at the left edge because of the periodic boundary condition assumption. Fig. …
is distorted at the left edge because of the periodic boundary condition assumption. Fig. …
Discovering structural regularity in 3D geometry
… algorithm for detecting such repeated geometric patterns in point… tool in the study of periodic
patterns. Liu and colleagues [… method of Horn [1987] to best approximate the matrix H+ϵD·H …
patterns. Liu and colleagues [… method of Horn [1987] to best approximate the matrix H+ϵD·H …
Angular resolution of the LISA gravitational wave detector
C Cutler - Physical Review D, 1998 - APS
… For these two types of sources, we calculate in the high signal-to-noise approximation the …
beam pattern of the detector. The effect of the periodic Doppler shift coming from the detector’s …
beam pattern of the detector. The effect of the periodic Doppler shift coming from the detector’s …
Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics
H Qiu, J Lee, J Lin, G Yu - Journal of sound and vibration, 2006 - Elsevier
… 3, if the signal was decomposed into N scale, one approximation coefficient and N detail …
range of the wavelet filter so that the periodic pattern of the noisy signal can be detected. …
range of the wavelet filter so that the periodic pattern of the noisy signal can be detected. …
関連キーワード
- epileptic seizure detection approximate entropy
- automatic detection approximate entropy
- periodic motion detection
- incident detection algorithm traffic patterns
- crack detection pattern predictor
- detecting approximate periodicity
- detection of approximate periodic patterns
- identifying approximate periodic patterns
- predicting approximate periodic patterns