Optical flow estimation using high frame rate sequences

IEEE International Conference on Image Processing

Volumn 2, Issue , 2001, Pages 925-928

  Lim, S H ^a   El Gamal, A ^a  

^a Stanford University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; GRADIENT METHODS; IMAGE ANALYSIS; IMAGE COMPRESSION; IMAGE SENSORS; IMAGING TECHNIQUES; MOTION ESTIMATION;

HIGH FRAME RATE SEQUENCES; OPTICAL FLOW ESTIMATION; VIDEO SEQUENCES;

OPTICAL FLOWS;

EID: 0035159254     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Performance of optical flow techniques
2. Estimating motion in image sequences
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4. A 10,000 frame/s 0.18μm CMOS digital pixel sensor with pixel-level memory
5. A CMOS image sensor for focal-plane low-power motion vector estimation
6. A 640 × 512 CMOS image sensor with ultra wide dynamic range floating-point pixel-level ADC
7. Photocurrent estimation from multiple nondestructive samples in CMOS image sensors
8. Integration of image capture and processing - Beyond single chip digital camera
9. An iterative image registration technique with an application to stereo visino
10. A computational framework and an algorithm for the measurement of visual motion
11. Optical flow estimation: An error analysis of gradient-based methods with local optimization
12. Computing optical flow across multiple scales: An adaptive coarse-to-fine strategy