A Framework for Food Traceability Information Extraction Based on a Video Surveillance System

Abstract

Food security is currently one of the most concerning problems in China. A traceability system is an effective method to improve the quality of food production. This system has been widely applied in several countries such as the US, Japan and the EU. However, in China, the creditability of traceability systems is not strong and many producers try to deceive the public by forging the data in such systems. In this paper, a video surveillance system-based traceability system is proposed which will significantly increase the forgery cost. In this system, subjects, such as vehicles or people, are firstly defined using a novel dynamic background model, then their trajectories are generated and connected using different cameras with a camera relation graph. The experimental results indicate that the proposed method can efficiently extract the object information from the video surveillance system and generate image-based traceability information to be used for further analysis.

A framework for the successful implementation of food traceability systems in China

“…• The difficulties in collecting a large amount of information because of low educational level of employees and lack of a sense of responsibility among managers and employees Li, 2006;Mao et al, 2015;Zhang et al, 2007);…”

“…Although the Chinese government has enacted a series of food safety laws and regulations in recent years, due to lack of an effective coordinated enforcement mechanism and approach, food safety incidents still occur frequently (Jia & Jukes, 2013;Mao et al, 2015). The food safety management structure at the national and local levels in China still have shortcomings (Jia & Jukes, 2013).…”

“…However, the successful implementation of food traceability systems in China faces many challenges due to the scale, diversity and complexity of the food supply chains. This is a pressing problem because although food safety laws with tough penalties has been enacted in China problems have continued to occur with disturbing frequency (Jia & Jukes, 2013;Mao et al, 2015).…”

Insights to Video Analytic Modelling Approach with Future Line of Research

“…The data for facial expression, facial movement, log data, audio data to perform classification of the outliers. Study on video surveillance was also carried out by Mao et al [43]. The author have presented a unique traceability mechanism for system over video surveillance system.…”

“…Not tested for analytics Aryanfar et al [38] support vector machine and naïve Bayes -Good Recognition rate Not tested for analytics Ayed et al [39] Mining with MapReduce, Wavelets -Reduce processing time -No comparative analysis -No complexity Analysis Cai et al [40] Statistical Analysis Good precision -No comparative analysis -No complexity Analysis Chen et al [41] PeakVizor, Glyph visualization -Interactive detection of user's online behaviour -Doesn't work online -cannot perform classification -No complexity Analysis Kim et al [42] Morphological study of facial expression -ideal for online games -No comparative analysis -No complexity Analysis Mao et al [43] Video traceability Accurate target extraction -Doesn't include high level of data extraction or mining.…”