Li et al., 2011 - Google Patents
Real-time human tracking based on switching linear dynamic system combined with adaptive Meanshift trackerLi et al., 2011
View PDF- Document ID
- 1854478034618135404
- Author
- Li Z
- Liu H
- Xu C
- Publication year
- Publication venue
- 2011 18th IEEE International Conference on Image Processing
External Links
Snippet
Real-time human tracking in complex environments usually presents many challenges, such as partial/complete occlusions caused by irregular motion and similar-color distractors. Switching Linear Dynamic System (SLDS) and Meanshift (MS) are two successful …
- 230000003044 adaptive 0 title abstract description 22
Classifications
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- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06T2207/10016—Video; Image sequence
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- G06K9/00362—Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
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- G06K9/00597—Acquiring or recognising eyes, e.g. iris verification
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- G—PHYSICS
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