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Chapter
A Motion Compensation Algorithm Based on Non-Linear Geometric Transformations and Quadtree Decomposition
In this paper we present an efficient very low bit-rate coder for CIF image sequences at 10 frames/s. The proposed algorithm performs motion compensation using a second-order geometric transformation and a qua...
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Article
Interaction between High-Level and Low-Level Image Analysis for Semantic Video Object Extraction
The task of extracting a semantic video object is split into two subproblems, namely, object segmentation and region segmentation. Object segmentation relies on a priori assumptions, whereas region segmentation i...
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Article
Open AccessDetection and Tracking of Humans and Faces
We present a video analysis framework that integrates prior knowledge in object tracking to automatically detect humans and faces, and can be used to generate abstract representations of video (key-objects and...
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Article
Open AccessMultiview Trajectory Map** Using Homography with Lens Distortion Correction
We present a trajectory map** algorithm for a distributed camera setting that is based on statistical homography estimation accounting for the distortion introduced by camera lenses. Unlike traditional appro...
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Article
Open AccessVideo Tracking in Complex Scenes for Surveillance Applications
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Chapter
Multi-view Multi-object Detection and Tracking
Multi-viewtrackers combine data fromdifferent camera views to estimate the temporal evolution of objects across a monitored area. Data to be combined can be represented by object features (such as position, co...
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Chapter
Change Detection for Object Segmentation
Object segmentation based on motion or change detection is the first step in many smart camera applications, such as video surveillance, human computer interaction, and immersive gaming. Efficient and accurate...
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Article
Open AccessMulticamera Information Processing: Acquisition, Collaboration, Interpretation, and Production
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Book
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Article
Open AccessBenchmark for anonymous video analytics
Out-of-home audience measurement aims to count and characterize the people exposed to advertising content in the physical world. While audience measurement solutions based on computer vision are of increasing ...