Title :
Object detection using depth information from Kinect sensor
Author :
Abd Manap, M. Syarafuddin ; Sahak, R. ; Zabidi, A. ; Yassin, I. ; Tahir, N. Md
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. Mara, Shah Alam, Malaysia
Abstract :
This paper investigates the detection of object using depth information that obtained from Kinect sensor. Type and distance of object have been investigated in order to find the best parameter in detecting objects. Two types of object are experimented; shiny and curved shape of object and dull and flat shape of object. Various distances of objects from the Kinect have been tested. From the results obtained, incorrect detection of object has been occurred when using object with shiny and curve shape. It also shows that the optimum distance of object from the Kinect is in the range of 4 feet to 5 feet.
Keywords :
image sensors; object detection; Kinect sensor; depth information; object detection; Conferences; Foot; Image color analysis; Microphones; Object recognition; Robot sensing systems; Shape; Kinect sensor; Object detection; depth information;
Conference_Titel :
Signal Processing & Its Applications (CSPA), 2015 IEEE 11th International Colloquium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4799-8248-6
DOI :
10.1109/CSPA.2015.7225638