Multimodal detection of salient behaviors of approach-avoidance in dyadic interactions
Proceedings of the 14th ACM international conference on Multimodal interaction
Augmented poselets for human body pose inference by a probabilistic graphical model
Proceedings of the 2nd ACM international workshop on Interactive multimedia on mobile and portable devices
Arm gesture variations during presentations are correlated with conjunctions indicating contrast
Proceedings of the 2012 ACM workshop on User experience in e-learning and augmented technologies in education
Object detection using strongly-supervised deformable part models
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Taxonomic multi-class prediction and person layout using efficient structured ranking
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Has my algorithm succeeded? an evaluator for human pose estimators
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Diverse M-best solutions in markov random fields
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Exploring the spatial hierarchy of mixture models for human pose estimation
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Camera-Based fall detection on real world data
Proceedings of the 15th international conference on Theoretical Foundations of Computer Vision: outdoor and large-scale real-world scene analysis
Data decomposition and spatial mixture modeling for part based model
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
A robust stereo prior for human segmentation
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
A review of motion analysis methods for human Nonverbal Communication Computing
Image and Vision Computing
Visual object detection with deformable part models
Communications of the ACM
Towards decrypting attractiveness via multi-modality cues
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Discriminative hierarchical part-based models for human parsing and action recognition
The Journal of Machine Learning Research
Object class detection: A survey
ACM Computing Surveys (CSUR)
Driver Pose Estimation Using a Mixture-model Method
Proceedings of the Second International Conference on Innovative Computing and Cloud Computing
Advanced Engineering Informatics
Automatic extraction of relevant video shots of specific actions exploiting Web data
Computer Vision and Image Understanding
| Hi-index | 0.02 |
We describe a method for human pose estimation in static images based on a novel representation of part models. Notably, we do not use articulated limb parts, but rather capture orientation with a mixture of templates for each part. We describe a general, flexible mixture model for capturing contextual co-occurrence relations between parts, augmenting standard spring models that encode spatial relations. We show that such relations can capture notions of local rigidity. When co-occurrence and spatial relations are tree-structured, our model can be efficiently optimized with dynamic programming. We present experimental results on standard benchmarks for pose estimation that indicate our approach is the state-of-the-art system for pose estimation, outperforming past work by 50% while being orders of magnitude faster.