Inherent Ambiguities in Recovering 3-D Motion and Structure from a Noisy Flow Field
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Three-Frame Algorithm for Estimating Two-Component Image Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion Estimation with Quadtree Splines
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multimodal Estimation of Discontinuous Optical Flow using Markov Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatio-Temporal Robust Motion Estimation and Segmentation
CAIP '95 Proceedings of the 6th International Conference on Computer Analysis of Images and Patterns
Object Oriented Motion-Segmentation for Video-Compression in theCNN-UM
Journal of VLSI Signal Processing Systems - Special issue on spatiotemporal signal processing with analog CNN visual microprocessors
Video Segmentation by MAP Labeling of Watershed Segments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Segmentation of Color-Texture Regions in Images and Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video sequence segmentation using genetic algorithms
Pattern Recognition Letters
Efficient region-based motion segmentation for a video monitoring system
Pattern Recognition Letters
Normalized Gradient Vector Diffusion and Image Segmentation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
A New Mesh-Based Temporal-Spatial Segmentation for Image Sequence
COMPSAC '00 24th International Computer Software and Applications Conference
A Software Tool for Real-Time Low-Level Vision
ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
Accessing Video Contents through Key Objects over IP
Multimedia Tools and Applications
Layered Motion Segmentation and Depth Ordering by Tracking Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
Latent semantic analysis for an effective region-based video shot retrieval system
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Anchorperson extraction for picture in picture news video
Pattern Recognition Letters
Seeded region growing: an extensive and comparative study
Pattern Recognition Letters
An a contrario Decision Framework for Region-Based Motion Detection
International Journal of Computer Vision
Object based segmentation of video using variational level sets
Machine Graphics & Vision International Journal
Automatic video segmentation using genetic algorithms
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
MPEG-4 authoring tool using moving object segmentation and tracking in video shots
EURASIP Journal on Applied Signal Processing
EURASIP Journal on Applied Signal Processing
Automatic detection of salient objects and spatial relations in videos for a video database system
Image and Vision Computing
Background recovering in outdoor image sequences: An example of soccer players segmentation
Image and Vision Computing
Multibody structure-and-motion segmentation by branch-and-bound model selection
IEEE Transactions on Image Processing
Intelligent segmentation method for real-time defect inspection system
Computers in Industry
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
What can we learn from biological vision studies for human motion segmentation?
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
Region growing with automatic seeding for semantic video object segmentation
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Optimal Image and Video Closure by Superpixel Grouping
International Journal of Computer Vision
Spatio-temporal reasoning for the classification of satellite image time series
Pattern Recognition Letters
Journal of Visual Communication and Image Representation
A novel video salient object extraction method based on visual attention
Image Communication
Hi-index | 0.14 |
This paper proposes a technique for spatiotemporal segmentation to identify the objects present in the scene represented in a video sequence. This technique processes two consecutive frames at a time. A region-merging approach is used to identify the objects in the scene. Starting from an oversegmentation of the current frame, the objects are formed by iteratively merging regions together. Regions are merged based on their mutual spatiotemporal similarity. The spatiotemporal similarity measure takes both temporal and spatial information into account, the emphasis being on the former. We propose a Modified Kolmogorov-Smirnov test for estimating the temporal similarity. This test efficiently uses temporal information in both the residual distribution and the motion parametric representation. The region-merging process is based on a weighted, directed graph. Two complementary graph-based clustering rules are proposed, namely, the strong rule and the weak rule. These rules take advantage of the natural structures present in the graph. Also, the rules take into account the possible errors and uncertainties reported in the graph. The weak rule is applied after the strong rule. Each rule is applied iteratively, and the graph is updated after each iteration. Experimental results on different types of scenes demonstrate the ability of the proposed technique to automatically partition the scene into its constituent objects.