In　this　the　problem　of　leader-following　tracking　control　of　wheeled　mobile　robots　with　implicit　communication　through　onboard　visual　sensing　is　addressed.　New　image-based　visual　servoing　(IBVS)　control　schemes　are　proposed　to　ensure　prescribed　performance　and　the　field-of-view　(FOV)　constraints　in　the　absence　of　the　feature　depth　information.　First,　the　error　transformation　with　predefined　performance　specifications　is　introduced　for　handling　the　visibility　constraints.　Then,　in　the　setting　of　control　of　the　uncertain　system　with　unknown　control　coefficients,　a　Nussbaum　gain　adaptive　controller　and　a　static　nonlinear　gain　controller　are　proposed　without　the　need　of　feature　depth　information.　Finally,　both　numerical　simulations　and　physical　experiments　are　presented　to　demonstrate　the　applicability　and　performance　of　the　proposed　control　schemes.