Description: Aiming at the complex ity of art iculated object detect ion, this paper pro poses a nov el cast
ing of v isual inference, based on a standard object model, makes full use of the edge featur e o f the imag e
( it does not rely on local features) , as w ell as the space informat ion of objects, and performs an iterat iv e
parsing process, w here w e can sequent ially handle the art iculated object detectio n and estimate the local
object components. Exper iment s show that this metho d has a st rong resistance to the backg round inter
ference, and can also great ly impro ve the results o f articulated object detect io n by human vision
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