Effective Crowd Anomaly Detection Through Spatio-temporal Texture Analysis

RT @IJAC_Journal: ◇IJAC Focus-Jul. 16◇ https://t.co/SMNUdEwNZf A spatial-temporal texture extraction algorithm is developed. And, a novel s…

◇IJAC Focus-Jul. 16◇ https://t.co/SMNUdEwNZf A spatial-temporal texture extraction algorithm is developed. And, a novel scheme for defining crowd motion patterns (signatures) is devised to identify abnormal behaviors in the crowd... #openaccess https://t.c

◇IJAC Today-22 Feb.◇ https://t.co/ItgZDc8rZ7 Abnormal crowd behaviors in high density situations can pose great danger to public safety. It is difficult to achieve real-time alerts and automated responses from current systems. Two major breakthroughs are r

◇IJAC Today-29 Sep.◇ https://t.co/8jfqBy116a Abnormal crowd behaviors in high density situations can pose great danger to public safety. Despite the extensive installation of closed-circuit television (CCTV) cameras, it is still difficult to achieve real-t