Name
Title | ||
|---|---|---|
Object recognition and segmentation in videos by connecting heterogeneous visual features |
Abstract | ||
|---|---|---|
We present an approach for model-free and instance-level object recognition and segmentation in cluttered scenes, based on heterogeneous visual features. The first contribution of this work addresses the description of the visual appearance of objects, by proposing the joint use of complementary features of different natures: on the one hand, a set of local descriptors based on interest points that have well-known interesting properties; on the other hand, a global descriptor based on a snake, providing a high-level description of the object shape. Our second contribution consists in efficiently structuring and connecting the visual features obtained, making possible the use of global descriptors without prior segmentation/detection. Our approach is compared to a classic one based on local descriptors only and is evaluated for video surveillance purposes over sequences involving 20 objects. We show that recognition is improved, and provides precise object segmentation, even with large occlusions. A real scenario of application to video surveillance of truck traffic validates the relevance of the approach. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.cviu.2007.10.004 | Computer Vision and Image Understanding |
Keywords | Field | DocType |
prior segmentation,visual appearance,precise object segmentation,visual feature,local descriptors,bottom-up and top-down features,object recognition,global descriptor,video surveillance,global descriptors,object shape,object localization and segmentation,heterogeneous visual feature,instance-level object recognition,bottom up,top down | Computer vision,Scale-space segmentation,Occultation,Edge detection,Clutter,Segmentation,Image segmentation,Artificial intelligence,Mathematics,Visual appearance,Cognitive neuroscience of visual object recognition | Journal |
Volume | Issue | ISSN |
111 | 1 | Computer Vision and Image Understanding |
Citations | PageRank | References |
6 | 0.42 | 38 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Valérie Gouet-brunet | 1 | 69 | 9.90 |
| Bruno Lameyre | 2 | 12 | 2.21 |