Multiple object tracking system with three level continuous processes

2003 ◽  
Author(s):  
K. Fukui ◽  
H. Nakai ◽  
Y. Kuno
Keyword(s):  
Object Tracking ◽  
Tracking System ◽  
Multiple Object Tracking ◽  
Continuous Processes ◽  
Multiple Object

scholarly journals Problem Analysis of Multiple Object Tracking System: A Critical Review

IJARCCE ◽  
2015 ◽  
Vol 4 (11) ◽  
pp. 374-377
Author(s):  
Md Zahidul Islam ◽  
Md Shariful Islam ◽  
Md Sohel Rana
Keyword(s):  
Object Tracking ◽  
Critical Review ◽  
Tracking System ◽  
Multiple Object Tracking ◽  
Problem Analysis ◽  
System A ◽  
Multiple Object

scholarly journals PSII-16 Thermal sensor-based multiple object tracking system for estrus detection in Korean native beef cattle

2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 238-239
Author(s):  
HyoKon Kang ◽  
Gee-Tae Park ◽  
YoungJun Na ◽  
HyounChul Kwon ◽  
Sangrak Lee
Keyword(s):  
Beef Cattle ◽  
Object Tracking ◽  
Feed Intake ◽  
Tracking System ◽  
Multiple Object Tracking ◽  
Video Tracking ◽  
Thermal Sensor ◽  
Experimental Animals ◽  
Multiple Object ◽  
Estrus Detection

Abstract This experiment was conducted to improve estrus detection using a thermal sensor based on multiple object tracking system. A total of six Hanwoo (Korean native beef cattle, BW= 404 ± 58 kg) were used in this study. They were housed in a 5 × 10 m pen by three animals per replication. The total amount of moving distance and feed intake were measured before and after estrus period. The infrared thermography camera (FLIR A615, FLIR SYSTEMS, USA) was placed approximately 9 m above ground to take thermal images. The video files were analyzed to calculate moving distance of experimental animals by the tracking system which was developed by our previous research. Each animal in a pen was tracked on thermal video files, and then moving distances were calculated by topographic surface-based object segmentation, velocity weight, and the river-bed refinement. Feed intake was calculated every day at 0900 by weighing residual feed. On the day before estrus, the total moving distance of experimental animals was 6,434 m (Pen 1= 6,873 m, Pen 2= 5,995m), whereas it was 15,121 m (Pen 1= 17,434 m and Pen 2= 12,808 m) on the estrus day, showing 2.35 times increase (P < 0.05) in moving activity. Feed intake was decreased (P < 0.05) by 11% on estrus day (29.4 vs. 26.1 kg). A decrease in feed intake and an increase in movement of beef cattle on the estrus day, were obvious signs that have been well documented not only in previous researches and but empirical knowledge. In this study, however, the exact moving distance of Korean native beef cattle was calculated by the thermal imaging video tracking system. Therefore, this multiple object tracking system could be applied in practice to detect estrus of beef cattle.

Multiple-Object Tracking

2011 ◽  
Vol 58 (3) ◽  
pp. 196-200 ◽  
Author(s):  
K. Botterill ◽  
R. Allen ◽  
P. McGeorge
Keyword(s):  
Object Tracking ◽  
Cognitive Processes ◽  
Spatial Location ◽  
Multiple Object Tracking ◽  
Tracking Performance ◽  
Multiple Object

The Multiple-Object Tracking paradigm has most commonly been utilized to investigate how subsets of targets can be tracked from among a set of identical objects. Recently, this research has been extended to examine the function of featural information when tracking is of objects that can be individuated. We report on a study whose findings suggest that, while participants can only hold featural information for roughly two targets this task does not affect tracking performance detrimentally and points to a discontinuity between the cognitive processes that subserve spatial location and featural information.

Location and identity are entangled in multiple-object tracking

2010 ◽  
Author(s):  
Todd S. Horowitz ◽  
Michael A. Cohen ◽  
Yair Pinto ◽  
Piers D. L. Howe
Keyword(s):  
Object Tracking ◽  
Multiple Object Tracking ◽  
Multiple Object
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