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Extended Kernel Associative Memory. Multi object tracking data set and result. Multi object tracking with multi hypotheses dynamic updating. Un-attended object detection results on PETS2006 data set. Context-Controlled Adaptive Background Subtraction. Multi-person detection and tracking for mobile robots. Wearable Virtual Usher for Indoor Navigation. Engagement aware robot for multiparty conversations.

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Extended Kernel Associative Memory. Multi object tracking data set and result. Multi object tracking with multi hypotheses dynamic updating. Un-attended object detection results on PETS2006 data set. Context-Controlled Adaptive Background Subtraction. Multi-person detection and tracking for mobile robots. Wearable Virtual Usher for Indoor Navigation. Engagement aware robot for multiparty conversations.
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index | perception.i2r.a-star.edu.sg Reviews

https://perception.i2r.a-star.edu.sg

Extended Kernel Associative Memory. Multi object tracking data set and result. Multi object tracking with multi hypotheses dynamic updating. Un-attended object detection results on PETS2006 data set. Context-Controlled Adaptive Background Subtraction. Multi-person detection and tracking for mobile robots. Wearable Virtual Usher for Indoor Navigation. Engagement aware robot for multiparty conversations.

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perception.i2r.a-star.edu.sg perception.i2r.a-star.edu.sg
1

PETS2006_C3

http://perception.i2r.a-star.edu.sg/MultiPersonTrackingForRobots/MPT-Robots.htm

Multi-Person Detection and Tracking for Mobile Robots. Following a person around a trolley. Tracking a person through occlusions by human and trolley. Following a person with irregular motions from moving robot in office corridor. Tracking three persons through complex occlusions. Approaching the person requiring service in a crowded scene. Tracking people in complex motions from moving robot (low frame rate). Tracking multiple persons in complex motions from moving robot (low frame rate).

2

PETS2006_C3

http://perception.i2r.a-star.edu.sg/PETS2006/UnAttnObj_C3.htm

Test Results of I2R's Intelligent Visual Surveillance (IVS) System on PETS2006 DataSet. This page contains some test results of our Intelligent Visual Surveillance (IVS) system on the PETS2006 data set for un-attended objects detection. The demo videos are obtained by applying the system directly onto the data from Camera 3 without specified system revisement. 5 out of 7 event are correctly detected. Tracking evaluation of the tests.

3

PETS2006_C3

http://perception.i2r.a-star.edu.sg/CCABS/CCABS.htm

Context-Controlled Adaptive Background Subtraction. This page contains some test results on our newly developed Context-Controlled Adaptive Background Subtraction method. Two types of backgrond subtracktion methods, Multiple of Gaussian (MoG) and Principle Feature Representation (PFR) are used in the test. The video demo can be found here. Each frame is devided into four parts: Top-left. Input image. Top-right. Contexture result. Bottom-left. Foreground mask with contextual controlling. PETS video using ...

4

Engagement–aware robot for multiparty conversations

http://perception.i2r.a-star.edu.sg/SocialRobot/SocialRobot.htm

Engagement aware robot for multiparty conversations. Video of robot behavior in user studies.

5

Multi-Object Tracking for Video Surveillance

http://perception.i2r.a-star.edu.sg/TrackingData-n-Result/Mul-Obj-Tracking.htm

Multi-Object Tracking for Video Surveillance. Based on Dominant Color Representation. A deterministic approach of multi-object tracking for real-time video surveillance based on a new appearance model, dominant color representation. DCR) The proposed method is tested on image sequences containing multiple persons and vehicles merging and separating in busy public scenes. The results and evaluation have shown the effectiveness of the proposed method. The video demo and raw test data can be found here.

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Extended Kernel Associative Memory. Multi object tracking data set and result. Multi object tracking with multi hypotheses dynamic updating. Un-attended object detection results on PETS2006 data set. Context-Controlled Adaptive Background Subtraction. Multi-person detection and tracking for mobile robots. Wearable Virtual Usher for Indoor Navigation. Engagement aware robot for multiparty conversations.

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