Segmenting salient objects from images and videos
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
A novel approach to FRUC using discriminant saliency and frame segmentation
IEEE Transactions on Image Processing
Sustained observability for salient motion detection
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Fast and efficient saliency detection using sparse sampling and kernel density estimation
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
From saliency to eye gaze: embodied visual selection for a pan-tilt-based robotic head
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Robust moving object detection against fast illumination change
Computer Vision and Image Understanding
Selective spatio-temporal interest points
Computer Vision and Image Understanding
Background subtraction based on phase feature and distance transform
Pattern Recognition Letters
An approach to automatic creation of cinemagraphs
Proceedings of the 20th ACM international conference on Multimedia
Visual saliency detection with center shift
Neurocomputing
Learning saliency-based visual attention: A review
Signal Processing
Visual tracking by proto-objects
Pattern Recognition
Spatiotemporal salience via centre-surround comparison of visual spacetime orientations
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Dynamic saliency models and human attention: a comparative study on videos
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Temporal saliency for fast motion detection
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I
A critical review of selective attention: an interdisciplinary perspective
Artificial Intelligence Review
Stochastic bottom-up fixation prediction and saccade generation
Image and Vision Computing
Predicting where we look from spatiotemporal gaps
Proceedings of the 15th ACM on International conference on multimodal interaction
Spatiotemporal saliency detection and salient region determination for H.264 videos
Journal of Visual Communication and Image Representation
Selection of a best metric and evaluation of bottom-up visual saliency models
Image and Vision Computing
Background subtraction using hybrid feature coding in the bag-of-features framework
Pattern Recognition Letters
Robotics and Autonomous Systems
| Hi-index | 0.14 |
A spatiotemporal saliency algorithm based on a center-surround framework is proposed. The algorithm is inspired by biological mechanisms of motion-based perceptual grouping and extends a discriminant formulation of center-surround saliency previously proposed for static imagery. Under this formulation, the saliency of a location is equated to the power of a predefined set of features to discriminate between the visual stimuli in a center and a surround window, centered at that location. The features are spatiotemporal video patches and are modeled as dynamic textures, to achieve a principled joint characterization of the spatial and temporal components of saliency. The combination of discriminant center-surround saliency with the modeling power of dynamic textures yields a robust, versatile, and fully unsupervised spatiotemporal saliency algorithm, applicable to scenes with highly dynamic backgrounds and moving cameras. The related problem of background subtraction is treated as the complement of saliency detection, by classifying nonsalient (with respect to appearance and motion dynamics) points in the visual field as background. The algorithm is tested for background subtraction on challenging sequences, and shown to substantially outperform various state-of-the-art techniques. Quantitatively, its average error rate is almost half that of the closest competitor.