On the public citation graph

Object oriented motion estimation in color image sequences

https://doi.org/10.1007/bfb0055699
0 signed · 35 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1006/cviu.1998.0675openalex-snapshot
Accuracy vs Efficiency Trade-offs in Optical Flow Algorithms
inferredcites →https://doi.org/10.1007/11949619openalex-snapshot
Computer Vision, Graphics and Image Processing
inferredcites →https://doi.org/10.1007/3-540-61123-1_137openalex-snapshot
Accuracy vs. efficiency trade-offs in optical flow algorithms
inferredcites →https://doi.org/10.1007/3-540-63930-6_172openalex-snapshot
Fast and robust Segmentation of natural color scenes
inferredcites →https://doi.org/10.1007/bf00131147openalex-snapshot
Computation and analysis of image motion: A synopsis of current problems and methods
inferredcites →https://doi.org/10.1007/bfb0055699openalex-snapshot
Object oriented motion estimation in color image sequences
inferredcites →https://doi.org/10.1016/0146-664x(78)90111-9openalex-snapshot
Formation of an object concept by analysis of systematic time variations in the optically perceptible environment
inferredcites →https://doi.org/10.1016/1049-9660(91)90068-zopenalex-snapshot
A region matching motion estimation algorithm
inferredcites →https://doi.org/10.1109/34.334394openalex-snapshot
Motion estimation via cluster matching
inferredcites →https://doi.org/10.1109/cvpr.1989.37840openalex-snapshot
Region-based optical flow estimation
inferredcites →https://doi.org/10.1109/cvpr.1997.609374openalex-snapshot
A region-level graph labeling approach to motion-based segmentation
inferredcites →https://doi.org/10.1109/iccv.1993.378220openalex-snapshot
Segmentation and 2D motion estimation by region fragments
inferredcites →https://doi.org/10.1109/ivs.1995.528294openalex-snapshot
Obstacle detection based on color blob flow
inferredcites →https://doi.org/10.21236/ada038843openalex-snapshot
Change Detection and Analysis in Multi-Spectral Images,

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1006/cviu.1999.0746openalex-snapshot
Image Analysis and Computer Vision: 1998
inferred← citeshttps://doi.org/10.1007/1-4020-4179-9_26openalex-snapshot
FEATURE-BASED CORRESPONDENCE ANALYSIS IN COLOR IMAGE SEQUENCES
inferred← citeshttps://doi.org/10.1007/3-540-45404-7_28openalex-snapshot
Detection and Tracking of Moving Objects for Mosaic Image Generation
inferred← citeshttps://doi.org/10.1007/3-540-45482-9_7openalex-snapshot
Moving Object Segmentation Based on Human Visual Sensitivity
inferred← citeshttps://doi.org/10.1007/978-3-540-24586-5_11openalex-snapshot
Another Paradigm for the Solution of the Correspondence Problem in Motion Analysis
inferred← citeshttps://doi.org/10.1007/978-3-540-24586-5_12openalex-snapshot
Improvement of the Fail-Safe Characteristics in Motion Analysis Using Adaptive Technique
inferred← citeshttps://doi.org/10.1007/978-3-642-10520-3_24openalex-snapshot
Feature Matching under Region-Based Constraints for Robust Epipolar Geometry Estimation
inferred← citeshttps://doi.org/10.1007/978-3-642-60243-6_22openalex-snapshot
Analyse initialer Positionsschätzungen bei der Bildfolgenauswertung
inferred← citeshttps://doi.org/10.1007/bfb0054729openalex-snapshot
Computer Vision — ECCV’98
inferred← citeshttps://doi.org/10.1016/j.cviu.2004.05.003openalex-snapshot
Scene-consistent detection of feature points in video sequences
inferred← citeshttps://doi.org/10.1016/j.jvcir.2006.03.004openalex-snapshot
Video object tracking using adaptive Kalman filter
inferred← citeshttps://doi.org/10.1017/s0263574708005122openalex-snapshot
Smart video surveillance for airborne platforms
inferred← citeshttps://doi.org/10.1109/cimca.2005.1631365openalex-snapshot
Robust Multi-Object Tracking Under a Wide Range of Real-World Conditions
inferred← citeshttps://doi.org/10.1109/cvpr.2001.990533openalex-snapshot
Scene-consistent detection of feature points in video sequences
inferred← citeshttps://doi.org/10.1109/icip.2006.312486openalex-snapshot
Model-Free, Statistical Detection and Tracking of Moving Objects
inferred← citeshttps://doi.org/10.1117/12.768505openalex-snapshot
Recent advances in 3D-CSC based MR brain image segmentation
inferred← citeshttps://doi.org/10.1134/s1054661807040086openalex-snapshot
Multiobject tracking in video using a trisection paradigm
inferred← citeshttps://doi.org/10.1142/s0219467814500053openalex-snapshot
Hybrid Color Segmentation Method Using a Customized Nonlinear Similarity Function
inferred← citeshttps://doi.org/10.22436/jmcs.04.02.02openalex-snapshot
A New Method For Video Object Tracking
inferred← citeshttps://doi.org/10.2352/cgiv.2004.2.1.art00028openalex-snapshot
Segment Cluster Tracking
showing the first 20 of 21 · page through all 21
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.